Abstract
Micro-blogs, blogs, review sites, social networking site provide a lot of review data, which forms the base for opinion mining or sentiment analysis. Opinion mining is a branch of natural language processing for extracting opinions or sentiments of users on a particular subject, object, or product from data available online Bo and Lee (Found Trends Inf Retrieval 2(1–2):1–135, 2008, [1]). This paper combines lexical-based and machine learning-based approaches. The hybrid architecture has higher accuracy than the pure lexical method and provides more structure and increased redundancy than machine learning approach.
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Mumtaz, D., Ahuja, B. (2018). A Lexical and Machine Learning-Based Hybrid System for Sentiment Analysis. In: Panda, B., Sharma, S., Batra, U. (eds) Innovations in Computational Intelligence . Studies in Computational Intelligence, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-10-4555-4_11
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