Wednesday 24th of April 2024
 

Literature Survey on Design and Implementation of Processing Model for Polarity Identification on Textual Data of English Language


Aparna Trivedi, Ingita Singh, Apurva Srivastava, Karishma Singh and Suneet Kumar Gupta

This literature work is a survey about Sentiment Analysis of textual data of English language and some of its previous works. Basically sentiment analysis identifies the view point or opinion of a text. For example, classifying a movie review as "Thumbs up" or "Thumbs down". Several public opinion surveys from multiple polling organization and peoples aggregate opinion on a topic can be assessed. This survey includes previous works which show how this technique has evolved over the past one and a half decade expanding its horizon and reaching out to almost all areas such as reviews of products, movies etc., travel advice, stock market predictions and in other decision making areas.

Keywords: Opinion Mining, Sentiment Analysis, Polarity Identification.

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ABOUT THE AUTHORS

Aparna Trivedi
Currently pursuing B.Tech. from ABES Engineering College, Ghaziabad and involved in research work of Natural language Processing and Information Retrieval.

Ingita Singh
Currently pursuing B.Tech. from ABES Engineering College, Ghaziabad and involved in research work of Natural language Processing and Information Retrieval.

Apurva Srivastava
Currently pursuing B.Tech. from ABES Engineering College, Ghaziabad and involved in research work of Natural language Processing and Information Retrieval.

Karishma Singh
Currently pursuing B.Tech. from ABES Engineering College, Ghaziabad and involved in research work of Natural language Processing and Information Retrieval.

Suneet Kumar Gupta
Working as Associate Professor at ABES Engineering College, Ghaziabad and has many years of experience in teaching and research. Currently working on Natural language Processing and Information Retrieval.


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