IJAITE- International Journal of Advanced Innovative Technology in Engineering

e-ISSN: 2455-6491 | Published by Global Advanced Research Publication House (GARPH)

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Archives of International Journal of Advanced Innovative Technology in Engineering(IJAITE)

Volume 6 Issue 4 July 2021

1. An Implementation on Post Crash Assistance

AUTHOR NAME : Ms. Asha Naidu, Ms. Komal U. Chaudhari, Ms. Manisha A. Meshram, Ms. Neha S. Ninawe, Ms. Rohini Z. Mankar, Mr. Rajat R. Kutare

ABSTRACT : Car stealing is nowadays a common problem. Daily many cars got stolen. Many cars never get recovered and customers get suffered due to this. Many security systems work to keep cars safe from theft. But these options are useless once your car gets stolen. No one can detect or recover a customers car easily. Keep all this in consideration we are trying to build a project which can make your car after stolen. For this, we need to develop and install some system inside the car which will tell you the car location after stolen. Keep this in mind we are trying to start one project which can fulfill all our requirements related to car security. We are trying to build a project which will help to keep your car safe even after it gets stolen. We also are trying to make car-accessible using a remote system. After deep discussion and work, we complete our problem definition. That is, we are developing GSM enabled system which will help the customer control their car remotely using just a mobile phone.

2. Traffic Management System in Emergency by Hydraulic Footpath

AUTHOR NAME : Chanakya K. Tummewar, Rahul N. Bhujade, Rushabh S. Marbade, Mohammad Ashar Raza, Kasif A. Khan, Shahzad Zabi, Pawan S. Ghagare, Prof. Vijay B. Shrirame, Prof. Akash A. Ingale

3. Design and Implementation of Automatic Crimping Machine

AUTHOR NAME : Mr. Ankit Khade, Mr. Hemant Wanjari, Mr. Hemant Shrivas, Prof. Shubham Khorgade

ABSTRACT : Crimping work is the most popular worldwide among all the devices of joining metals and even some non-metals. The great importance of crimping is the proper design of crimping machines, in order to increase their performance and productivity proper design is very essential. The main aim of the paper is to design and develop a crimping machine working condition. The crimping machine has various parts involved such as hydraulic cylinder, hand pump, tool holing blocks, ferrule crimping component, and base plate hose, and the end fitting coupling. As we know that time and human power are the important concern in the industries so there is a requirement to design and develop a crimping machine which will reduce the required human effort and make their task easy. This paper proposes an automatic machine that can be used for the crimping operation of a wire. The idea is to develop a machine that can perform the crimping operations on one setup thus reducing the space and labor cost. Presently these operations are performed manually at a small-scale level which can be performed automatically using this machine. Individual machine setup for crimping is not required thus, saving the cost and maintenance issue. The automatic mode of operation reduces human effort and manufacturing time while increasing the manufacturing rate of the wires.

4. Review on IoT Based Smart Healthcare Monitoring System

AUTHOR NAME : Ms. Prajakta Tandulkar, Dr. Pritesh R. Gumble

ABSTRACT : In this paper, we have deeply explored the role of IoT in healthcare Monitoring Systems. Nowadays, Healthcare has become a very important issue in our busy day-to-day life. So regular monitoring our own and family member’s health is much vital. The paper deals with the same. It will help us to diagnosis the patient which may be at our home or distance. It will provide us the secured data and it involves the sender and receiver model which will privately collect the health-related information. For observing the parameter such as pulse rate, blood pressure, temperature, and posture and examining the possibility of diagnosing patients health. The sensors attached to the patient’s body form a wireless body sensor network (WBSN) and can sense the rate, blood pressure, etc. This paper works on the Internet of things (IoT) concept and is beneficial for the healthcare industry and biomedical applications.

5. Seismic Behaviour of Multistory Building with And Without Soft Story Effect Using Masonary Strut in ETABS Software

AUTHOR NAME : Minal U. Pawar, Prof. M. R. Nikhar, Prof. M. M. Lohe

ABSTRACT : Many low-rise and medium-rise framed buildings have been constructed in the recent past, without proper attention paid in their design for wind or earthquake loads. This serious shortcoming in structural design and detailing has been exposed by failure that has occurred in the recent earthquakes in various parts of the country. Nowadays reinforced cement concrete frames are most common in building construction practices around the globe. The vertical gaps in reinforced cement concrete frames that are created by column & beam are generally filed by brick masonry. If these gaps are not filled by brick masonry, then the structure is known as a bare frame structure. Due to gaps, the bare frame has a very low resistance to lateral forces, which fail structure. Openings are provided in structure for doors, windows, etc. In this work, to provide stiffness to the structure, we provide an infill wall strut of 230 mm thick brick masonry & effective depth under compression calculated by equivalent diagonal strut method. Infill wall act as compression strut between column & beam & forces is transferred from one node to another. Such as a building in which the upper story has a brick-infill wall panel and an open ground story is called a stilt building and an open story is called a stilt floor or soft story. A soft story is also known as the weak story it is the story in which that has less substantial resistance than the above story or below. The G+6 storied residential building with different models is considered. In each case, we provide a bare frame and infill wall at different positions with different types of struts & then studied the behavior of the structure under seismic forces. Based on that, parametric studies on story displacement, story drift, time period shear force, and moments have been carried out using equivalent static analysis & response spectrum analysis to investigate the influence of this parameter on the behavior of buildings with soft story

6. Anti-Sinking Using Alert and GPS Based Tracking

AUTHOR NAME : Prof. Pradip Balbudhe, Amisha Sahare, Mohini Shende, Sandhya Suranshe, Shubhangi Kularkar, Sujata Padvekar

7. Classroom Surveillance and Attendance Monitoring Using Biomatrices and IOT

AUTHOR NAME : Prof. Vivekanand Thakare, Homal Thakre, Sonali Mule, Rupali Dighore, Karan Patwa, Abhijeet Mishra, Madhuri Parate

ABSTRACT : Faculties have traditionally registered the presence of students, by calling roll call during the lecture. The faculties are responsible for monitoring student attendance during the semester. They must calculate the percentage of attendance of all students for each semester. They must also warn less frequent students to achieve a minimum attendance of 80% as per university regulations. This whole process is still done manually, which takes time. This issue may require a system to more accurately record student attendance and eliminate the need for manual faculty verification. The system registers the class schedule and when the class is in progress, it will be visible on the site and the semester, lecturer in/out time, subject, etc. will be visible on the screen. It will be accessible to staff and higher authorities. The database stores the fingerprint data of all students and teachers. Every time a student marks his/her attendance for a particular semester, the system checks the system database and then marks the attendance of that particular student for that respective semester. It will be posted on the website using the IOT to the respective higher authorities.

8. Review Of Studies on Helical Compression Springs with A Perspective of Material, Methods and Failure

AUTHOR NAME : Harsha Dharpure, Dr. S. P. Trikal

9. Hand Gesture Controlled Wheelchair

AUTHOR NAME : Prof. Pradip Balbudhe, Sarang Gujar, Ninad Saoji, Harshal Hiwarkar, Tejas Dighe, Swapnil Urade

ABSTRACT : The aim of this paper is to prepare a Hand Gesture Controlled Wheelchair for physically disabled people who face difficulty in moving from one place to another in day-to-day life. These days joystick-controlled wheelchair is available in the market whose cost ranges between Rs 80,000 to Rs 150,000. For that, we have prepared this Hand Gesture Controlled Wheelchair at a minimal cost so that anyone can easily buy it. An MPU6050 is a 6 DOF (Degrees of Freedom) or a six-axis IMU sensor, which means that it gives six values as output. It consists of a three-axis accelerometer and a three-axis gyroscope. Which gives an analog signal on its movement in any of the 3 axis directions, that is X-axis, Y-axis, Z-axis. In this project, we have considered the X and Y axis for the direction. Further, the input from the sensor is given to the encoder which sends the data wirelessly through the transmitter, then the data is received at the receiver end and the sensor data is decoded and finally given to motor driver L298. Based on data received from the nRF24 module sends the signal accordingly to relays to move the wheelchair in forwarding, backward, left, right directions.

10. Facial Emotion Detection of children Using Machine Learning

AUTHOR NAME : Ms. Ranjana V. Gawai, Prof. V. R. Raut, Dr. S. M. Deshmukh

ABSTRACT : Facial Emotion Detection is a technique for detecting human emotion through facial expressions. Autism Spectrum Disorder is a neurobehavioral disorder with a wide range of symptoms. Autistic people are unable to communicate socially in this state. The behaviors of autistic people are inflexible and repetitive. Autism affects peoples ability to recognize emotions. The goal of this project is to use a machine learning algorithm to track and identify persons with autism spectral disorder. demonstrate a novel approach for recognizing facial expressions in youngsters with autism spectrum disorders. In this work, five emotions have been recognized from the face like sad, angry, happy, Disgust, and surprise. In the proposed work, three important methods have been used like LBP and HOG for feature extraction, and Ensemble Random decision machine learning algorithms for classification of emotions. A large dataset of autistic people has been utilized for proposed work implementation. From the result simulation, it has been seen that the proposed algorithm has provided good results in terms of Accuracy. We achieved an accuracy near about the 86.6% by using the proposed emotion recognition system for the autistic database.

11. DC Microgrid System for Smart Energy Delivery Using Renewable Sources

AUTHOR NAME : Ms. Prajakta Palhade, Prof. C. M. Bobade

ABSTRACT : An increase in the development of different kinds of power generations and the grid has raised major concerns with existing AC systems. Most of the microgrids and renewable energy sources operated in parallel with AC main grids. Since the majority of the power grids are presently ac type, ac microgrids are still dominant, and purely dc microgrids are not expected to emerge exclusively in power grids. Therefore, dc microgrids are prone to be developed in ac types even though in Subordinate. The DC micro-grid system, as a subsystem of the smart grid system, can also incorporate the smart concept into the DC power distribution for smart energy delivery. However, since the smart concept for the modern grid is under development, the DC micro-grid system still limits in the traditional configuration. A new DC micro-grid for high power quality distribution, the renewable energy is not modeled into the grid system. Hence, it is still a conventional model for the DC grid system. A new DC micro-grid system, which fully utilizes renewable energy and electric vehicle for smart energy delivery. The proposed DC grid incorporates the AC supply module, standby energy module, renewable energy module, and storage energy module together, to execute the energy distribution. Hence, this grid system can offer high-quality power for the three types of loads, namely AC single-phase output and two DC output. The control strategy of the grid system for performing smart energy delivery will be discussed in detail. The simulation results will be also given to verify the four operation modes of the grid system.

12. FEA Analysis of Helical Spring in Suspension System

AUTHOR NAME : Harsha Dharpure, Dr. S. P. Trikal

ABSTRACT : In vehicles, the problem happens while driving on bumping road conditions. The objective of this paper is to design and analyze the performance of the suspension system by varying the wire diameter of the coil spring. The Suspension system is designed mechanically to handle shock impulses and dissipate kinetic energy. It reduces the amplitude of disturbances leading to an increase in comfort and improved ride quality. The spring is compressed quickly when the wheel strikes the bump. The compressed spring rebounds to its normal dimension or normal loaded length which causes the body to be lifted. The spring goes down below its normal height when the weight of the vehicle pushes the spring down. This, in turn, causes the spring to rebound again. The spring bouncing process occurs over and over every less each time until the up-and-down movement finally stops. The vehicle handling becomes very difficult and leads to an uncomfortable ride when bouncing is allowed uncontrolled. Hence, the design of spring in a suspension system is very crucial. The analysis is done by considering bike mass, loads, and no of persons seated on the bike. Comparison is done by varying the wire diameter of the coil spring to verify the best dimension for the spring in the shock absorber. Modeling and Analysis is done using CREO and ANSYS respectively.

13. Pre-Implementation Infrared and LED Projection Technology for Vehicle on Road Guidance

AUTHOR NAME : Prof. Pravin Balbudhe, Rashmi Shahare, Karishma Kumbhalkar, Shruti Tiple, Khushabu Badge, Diksha Godghateb

ABSTRACT : Night traveling leads to a lack of traveling judgment and is dangerous for beginner drivers. Even the expert driver may miss the wheel judgment in 4-wheelers due to less visibility in the front view lower position. On the other hand GPS maps, guided driving may distract the driving attention and lead to abnormal situations. The proposed system will be designed to guide drivers using infrared beam design to about wheel judgment and the vehicle passing lane space judgment. This technology could also extend to display mapping information and all other information that may guide drivers on road. The number of vehicles on our roads is burgeoning day by day. This is turn forced almost all these vehicle manufacturers to think about the extra safety instruments and electronic controls to attach with these products for giving the users a safety derived in all road conditions through mass flow traffic available in the vehicle these can alert car owners for theft detection but the major problem with all these systems is it can alert local users only not to the remote one.

14. A Review for Vibration Effect on Heavy Duty King-Pin and Reasons of Failures

AUTHOR NAME : Monali Arun Zope, Prof. A. S. Bharule

ABSTRACT : The modern heavy duty vehicle is robust in design and load bearing capacities. They often have to bear heavy loads and should deal with rough road conditions. But still, they work efficiently. The reason behind that is the reliable spare parts and their maintenance. Their steering and suspension systems also work in very rough road conditions. Hence, they must have quality spare parts. King pin attached to the front axle and hub is also an important component of the steering and suspension system. It is the most reliable part which has very little maintenance and longer life. Metallurgy used while manufacturing this part provides lots of strength, toughness, wear resistance, etc. But still, sometimes king pin failure due to the sudden jerks or pits on road arises. There are many other reasons for failure. In this paper, the vibrational effect is tested with the help of available literature and the CAE tool. The natural frequency range is obtained by using the FEM package. Mode shape results along with their possible deformation in each mode are also generated. The CAD model is generated in CATIA V5R19 software and ANSYS 14.5 is used as a FEM tool. As per the generated results, the conclusive statement is written.

15. A Review of Critical Study on The Development of Forces Under Seismic Loading Due to Plan and Vertical Irregularities

AUTHOR NAME : Gauri Vinod Samarth, Prof. Hemant B Dahake

ABSTRACT : In the present scenario, many buildings are asymmetric in plan and/or in elevation based on the distribution of mass and stiffness along with each story throughout the height of the building. Most recent earthquakes show that the irregular distribution of mass, stiffness, and strengths may cause serious damage in structural systems. Due to several reasons, damage reports on recent earthquakes have indicated that torsional motions often cause significant damage to buildings, at times leading to their collapse. The earthquake resistance code in India, IS1893:2002 (Part I) is used for asymmetric buildings. In this study, an attempt has been made to study the torsional provisions as per IS code. Several studies of structural damage during the past earthquake reveal that torsion is the most critical factor leading to major damage or complete collapse of buildings; therefore, it is necessary that symmetric buildings should also be analyzed for torsion. Structures are never perfectly regular and hence the designers routinely need to evaluate the likely degree of irregularity and the effect of this irregularity on a structure during an earthquake. In this work, a study on the influence of the torsion effects on the behavior of the structure is done by response spectrum analysis (Dynamic Analysis) using ETABS Software. It is observed from the comparison of different building the eccentricities between the center of mass and center of resistance plays a vital role in torsional behavior of structure during an earthquake. Thus, there is a requirement to study the effect of torsion on different irregular building considering different sesmic parameters.

16. Online Voting System

AUTHOR NAME : Prof. Ruchira Selote, Monika Burle, Utkarsha Kanchanwar, Vaishnavi Falke, Rita Bansod, Mayur Charde

17. Home Automation Using Google Assistant

AUTHOR NAME : Prof. Ruchira Selote, Pallavi Kedar, Rushabh Selokar, Trupti Nakhate, Hrushikesh Sherekar, Rajni Rathor

ABSTRACT : The aim of this project is to help people to make life easy with smart technology. This automation system performs current activities inside the home and this automation system can be developed easily nowadays, because of powerful computational devices and wireless sensor networks (WSN). The main objective of this project is to develop a home automation system using an ESP8266 board being remotely controlled by any android OS smartphone. Modern houses are gradually shifted from conventional switches to the centralized control system, involving controlled switches. Coming days, we are going to use automated houses which are activated. This project will demonstrate, controlling home electronic appliances like T. V, fans, lights, etc., using the internet and your voice and that too low budget.

18. Android Application for Online Exam Conduction

AUTHOR NAME : Prof. Vivekanand Thakare, Abhishek Kumar, Damini R. Singh, Prajwal R. Badwe, Rushikesh P. Sonekar, Sonam J. P. Sharma

ABSTRACT : This project will help the students choose a college with all the facilities. It will not take much time to search for information about a college using this app. To improve the student engagement factor, colleges and universities need to ensure that information influencing student decisions is readily available at the right place and at the right time, starting with the examination process. Having a mobile app can help you engage your students in ways you haven’t even thought of before. The app can take exams online and can be easily handled by any teacher or student. Though a student portal serves as a good means of communication, it’s the accessibility factor that makes a mobile app far more effective. According to the National Centre for Educational Statistics, there are more than 26,000 colleges and universities all over the world, and around 4,000 in the US alone. For students who aspire to pursue higher education, there seem to be plenty of colleges and universities to choose from. Because of the competitive nature of the higher education sector, the student engagement factor’ has more recently become a significant aspect for students choosing a college or a university, along with facilities, curriculum, and job opportunities. There are so many reasons why students look for institutions to have a college mobile app.

19. Hybrid Wind Solar Power Generation with And Without Dump Power Control

AUTHOR NAME : Mr. Pankaj V. Kale, Prof. Chetan M. Bobade

ABSTRACT : The rapid decrease in fossil fuel and natural gas is alarming us to think about alternative sources of energy. Renewable energy is a better solution to this problem. Different technologies have been developed day by day to mitigate the required output of the hybrid system. A large number of isolated communities, small islands, rural and village areas in developing countries are without low-cost access to the electric power grid, and the electricity locally produced by diesel generating groups has the economic penalty of the high cost of fuel, largely due to the added transportation costs. An Effective, economic and efficient alternative to these diesel generating groups is the development and use of natural resources as power sources. Moreover, the limited reserves of fossil fuels and global environmental concerns over their use for electric power generation have also increased the interest in the utilization of renewable energy resources.

20. Performance Analysis of Induction Motor Using Different Optimization Technique

AUTHOR NAME : Pankaj D. Bhuyar, Prof. C. M. Bobade

ABSTRACT : This paper aims to optimize the design of the induction motor to improve the performance in terms of efficiency, torque, and reduce the active material, which comprises the cost of the induction motor. Because the optimization of induction motor design is a highly nonlinear mix-discrete constrained multivariable problem, conventional optimization methods like golden section, Rosenbrok, Hooks, and Jeeves, are not effective. On the other hand, some optimization techniques like genetic algorithm, pattern search, simulated annealing, particle swarm, and interior point method are effective as they do not require derivative of the objective function to be optimized and are less time-consuming compared with a comparison with the standard nonlinear optimization methods. Thus, the following steps are adopted to achieve the objective: A 2.2 kW, 400 V, 1500 r.p.m., 3- phase squirrel cage induction motor is classically designed with a MATLAB program which is a generalized one, developed for motors ranging from 1 kW to 11kW. Using a genetic algorithm (GA) the classically designed motor is optimized thrice, once to get minimum active material cost than for maximum efficiency and finally for maximum full load torque. Keeping efficiency as the main objective function, pattern search (PS), simulated annealing (SA), interior-point (IP), and particle swarm (PSR) methods are used for maximizing efficiency. All the results obtained are then compared in a tabular form to suggest the best possible method for efficiency optimization.

21. Smart Detection of Gas Leakage and Alerting Using IoT

AUTHOR NAME : Prof. Ansar Sheikh, Shrikant C. Waghmare, Anshul P. Dahiwale, Himanshu R. Moon, Piyush A. Fukat, Tarkeshwar R. Khangar

ABSTRACT : Every day, we deal with numerous amounts of gases, be it Oxygen, Carbon Dioxide, and whatnot. Some are helpful for us; some are necessities for us while some are meant to be handled with caution. We are here to discuss the gases that can be hazardous to human lives, such as Petroleum Gases like butane and propane or Natural Gases such as methane. With the Increasing amount of usage of such gases, it is our responsibility that we should use it for our assistance. The System, we are using, would be really helpful to monitor the presence of leakage of any sort of gases. It will come in handy for the safety of the lives and the hazards that can occur due to accidental leaks of any sort of gas present in the house. We have designed a system that will alert and notifies us using the IoT about the leakage so that we can take control action about it. Since Petroleum Gas and Natural Gas are highly volatile and Inflammable, this safety system will help us to take necessary action which will help to avoid any kind of explosion. For this, a Buzzer is placed that will kick at the moment, it detects any sort of gas leakage. The MQ9 Sensor installed in the System will detect the essence of any kind of gases such as propane, butane, methane, etc. The Sensor is very sensitive to such inflammable gases. Arduino UNO has been used here in this system, the leakage is being detected by the Arduino itself, which in turn turns the LCD Display and Buzzer as a safety measure.

22. Heart Defect Monitoring System Using ECG

AUTHOR NAME : Ansar Sheikh, Kalyani Raghuwanshi, Komal Mahulkar, Madhuri Dasariya, Avshali Nagpure

ABSTRACT : In Indian rural areas, about 40 percent of the population lives in poverty. Furthermore, rural residents access to nursing and diagnostic services are limited due to a lack of sophisticated healthcare-related technologies. As a result, rural residents are denied access to adequate healthcare. In this light, current technology can aid in the alleviation of their health problems. The human chest is interfaced with ECG sensing equipment, and the necessary cardiovascular data is acquired via an IoT device. These files are saved in the cloud and are accessible via MQTT and HTTP servers. This paper proposes a novel IoT-based solution for ECG monitoring systems on cardiovascular or heart patients. P, Q, R, S, and T are ECG signal parameters that are gathered, preprocessed, and forecasted to monitor cardiovascular problems for future health management. The relevance of ECG signal characteristics and error rate is determined using a machine learning system. The logistic regression model suited the train and test data with the best agreement. The prediction was made to see how PQRST quality varies and how well it fits into the ECG Monitoring System. When the values of quality factors are taken into account, satisfactory outcomes are attained. In the future, the suggested IoT-based ECG system minimizes the cost of health care and the complexity of cardiovascular disorders.

23. Atomic Representation of Multi-Attribute Real World Objects in the Memory of Next Generation Humanoid Robot

AUTHOR NAME : Sachin Manohar Inwate, Dr. R. R. Tuteja, Prof. K. H. Deshmukh

ABSTRACT : This paper proposed an atomic representation for multi-attribute real-world objects in the memory of the Humanoid Robot. It is specially designed to store all attributes like name, image, sound, taste, smell, touch and feel, etc. of real-world objects. These attributes are stored in different orbits of an atom based on their importance. The most important attributes are in the orbit closer to the nucleus and hence plays important role in locating the object faster in the object hierarchy. This representation is also inspired by the neuron model of the neural network. Hence different related objects are linked with each other just like neurons which are connected through synapse. This representation will pave a new way of organizing objects, recording their different attributes, and representing the many-to-many relationships between different objects in the simplest way.

24. Facial Expression Recognition Based on Machine Learning Approach: Review

AUTHOR NAME : Mr. Vittal Manohar Kharmate, Dr. S. R. Gupta, Prof. Sumedh Ingale

ABSTRACT : The motion of one or more than one muscle underneath the skin is Facial Expression. These movements play a very important role in conveying the emotional states of individuals to the observer. Human face-to-face communication is important in human interaction. In recent years, different approaches have been put forward for developing methods for fully automated facial expressions analysis that is important for human-computer interaction. In Facial Expression Recognition System, the image is processed to extract such information from it, which can help in recognizing six universal expressions that are neutral, happy, sad, angry, disgust, and surprise. This processing is done in several phases including image acquisition, features extraction, and finally expressions classification. This paper surveys some of the techniques that are used for the purpose of facial expression recognition; a summary of some of the previous work from 2015 to 2021 is given in the tabular form. A list of few challenges in this field is given at the end along with the possible future advancements.

25. Overview of Word Embeddings in NLP: A Survey

AUTHOR NAME : Mr. Sameer Yadavrao Thakur, Dr. K. H. Walse, Dr. V. M. Thakare

ABSTRACT : This is a survey paper on “Word embedding in NLP”. For this, we reviewed 21 research papers in which WE were used as the main technique. The Paper has seven different sections. Word Embedding in NLP is gaining overwhelming responses nowadays because of its important properties for representing words. Representing words, phrases, sentences, and documents for various machine learning activities is a crucial task of NLP. Therefore, it is necessary to convert or represent textual inputs to key in for the machine for discovering knowledge about the text which is available around various systems. There are various studies in which we can employ word embedding techniques in common NLP activities like extraction and retrieval of information, analysis of sentient or opinion, sentence classification, question-answer retrieval, identifying the syntax and semantics of words concerning context and sense, relation modeling, learning using privileged information, retrieving information from bilingual, cross-lingual, multilingual, detection of the erroneous word, misspelled, out of vocabulary word, the semantics of words from the web and social media and many other applications. This survey paper gives details regarding word embedding methods and approaches used to address various recent issues and challenges of NLP tasks.

26. A Comprehensive Survey on Different Approaches for Sentiment Analysis

AUTHOR NAME : Mr. Monal R. Torney, Dr. K. H. Walse, Dr. V. M. Thakare