SURVEY ON ASPECT BASED SENTIMENT ANALYSIS

Registration ID: IJNRD_215776

Published ID: IJNRD2308453

DOI: Click Here to Get

Jitendra Soni

Sentiment analysis , Text analysis , Word embedding , Machine learning , Social media

The swift expansion of web-based programs, such as blogs and social media sites, has led to remarks and evaluations of daily operations. The process of obtaining and examining people's views, ideas, and perceptions about various subjects, products, and services is known as sentiment analysis. For the purpose of gathering data and formulating views-based decisions, businesses, governments, and individuals can all benefit from the opinions of others. The appraisal and sentiment analysis process, however, is fraught with difficulties. Determining the proper feeling polarity and accurately interpreting sentiments are hindered by these difficulties. Sentiment analysis uses text mining , natural language processing to find and extract subjective information from the text. An extensive description of the process for accomplishing this assignment and the uses of sentiment analysis are covered in this article. After that, it assesses, contrasts, and explores the methods employed in order to acquire a thorough comprehension of their benefits and drawbacks. In order to determine future directions, the sentiment analysis challenges are finally reviewed.

Published Paper   E-Certificate

Jitendra Soni (August-2023). SURVEY ON ASPECT BASED SENTIMENT ANALYSIS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), e529-e545. https://ijnrd.org/papers/IJNRD2308453.pdf

Volume 8 Issue 8, August-2023

Pages : e529-e545

Paper Reg. ID: IJNRD_215776

Published Paper Id: IJNRD2308453

Downloads: 000121980

Research Area: Science & Technology

Country: indore, m. p., India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308453.pdf

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