A Review on Sentiment Analysis Techniques and Approaches


Authors : Devendra Singh Rathore; Dr. Pratima Gautam

Volume/Issue : Volume 9 - 2024, Issue 6 - June


Google Scholar : https://tinyurl.com/4we3rj8b

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DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUN1645

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Abstract : In current scenario persons share their emotions and views on social media in symbolically and text form. These views turn out to be beneficial to organizations, political institutions and the public. It can be difficult to record and understand consumer emotions because reviews on the Internet are available to millions for a product or service. Sentiment examination assumes a significant part in corporate life as they influence their dynamic cycle in different sorts of occasions they face. The essential goal of this survey is to give a total image of sentiment investigation techniques and approaches, its sorts and grouping. This research paper presents an insight of different approaches on sentiment analysis along with demerits.

Keywords : Sentiment Analysis, Machine Learning, Algorithm, NLP.

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In current scenario persons share their emotions and views on social media in symbolically and text form. These views turn out to be beneficial to organizations, political institutions and the public. It can be difficult to record and understand consumer emotions because reviews on the Internet are available to millions for a product or service. Sentiment examination assumes a significant part in corporate life as they influence their dynamic cycle in different sorts of occasions they face. The essential goal of this survey is to give a total image of sentiment investigation techniques and approaches, its sorts and grouping. This research paper presents an insight of different approaches on sentiment analysis along with demerits.

Keywords : Sentiment Analysis, Machine Learning, Algorithm, NLP.

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