• A MALLIKARJUNA

The analysis of sentiment similarity between texts is an essential task in natural language processing (NLP) and has various applications in fields like marketing, social media, and customer feedback. Trust computing is a crucial factor in sentiment similarity analysis as it helps to determine the reliability of the data sources used for analysis. This review paper examines different trust computing strategies used in sentiment similarity analysis. The paper starts by introducing the concept of sentiment similarity analysis and its importance in NLP. Then, it discusses the different trust computing strategies used in sentiment similarity analysis, such as the Dempster-Shafer theory, Bayesian networks, and fuzzy logic. Each strategy is explained in detail, and their strengths and weaknesses are highlighted.

sentiment analysis,Trust computing

"THE REVIEW ON DIFFERENT TRUST COMPUTING STRATEGIES USED IN SENTIMENT SIMILARITY ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l167-l171, May-2023, Available :http://www.jetir.org/papers/JETIR2305B24.pdf

"THE REVIEW ON DIFFERENT TRUST COMPUTING STRATEGIES USED IN SENTIMENT SIMILARITY ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl167-l171, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B24.pdf