This is a survey paper that presents sentiment lexicons and discusses the state of the art in the field of methods of producing sentiment lexicons (Creation). Like websites, social networks, blogs, online portals, reviews, thoughts, suggestions, ratings, and feedback are generated by writers with accelerated Internet development. Sentiment material can be about books, people, hotels, products, surveys, activities, etc., and these sentiments are very useful to businesses, governments, and individuals. Sentiment analysis is the method for processing natural language and text analysis to define and extract subjective knowledge from text. This paper provides a survey on the problems of sentiment analysis related to their methods and techniques. There are different types of lexicons covered, differing in aspects such as coverage, development methods, lexical unit, and granularity. It aims to provide a representative sample of the field of lexicons of sentiment.
CITATION STYLE
Lahase, A. R., Shelke, M., Jagdale, R., & Deshmukh, S. (2022). A Survey on Sentiment Lexicon Creation and Analysis. In Smart Innovation, Systems and Technologies (Vol. 251, pp. 579–587). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-3945-6_57
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