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Of late, sentiment analysis has transpired to be a critical cog in a slew of diverse Natural Language Processing tasks like recommendation systems, question answering, and business intelligence products to name a few. At its core, sentiment analysis is the process of analyzing emotions in a given piece of text, where the excerpt at hand is predomin...
Citations
... Table 4 shows category of sentiments, some of the sentiment words used in Telugu and its Telugu pronunciation representation in English. [37] created a manually annotated corpus and word embedding model for Telugu text. He suggested a hybrid method of query choice approach with active learning techniques. ...
Sentiment analysis (SA) is the process of understanding emotion within a text. It helps identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or neutral. SA is frequently used today as more and more people get a chance to put out their thoughts due to the advent of social media. Sentiment analysis benefits industries around the globe, like finance, advertising, marketing, travel, hospitality, etc. Although the majority of work done in this field is on global languages like English, in recent years, the importance of SA in local languages has also been widely recognized. This has led to considerable research in the analysis of Indian regional languages. This paper comprehensively reviews SA in the following major Indian Regional languages: Marathi, Hindi, Tamil, Telugu, Malayalam, Bengali, Gujarati, and Urdu. Furthermore, this paper presents techniques, challenges, findings, recent research trends, and future scope for enhancing results accuracy. .
