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Conclusions and Future Work

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Book cover Prominent Feature Extraction for Sentiment Analysis

Part of the book series: Socio-Affective Computing ((SAC))

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Abstract

The field of sentiment analysis is an exciting new research direction due to large number of real-world applications where discovering people’s opinion is important in better decision-making. The development of techniques for the document-level sentiment analysis is one of the significant components of this area. Recently, people have started expressing their opinions on the Web that increased the need of analyzing the opinionated online content for various real-world applications. A lot of research is present in literature for detecting sentiment from the text. Still, there is a huge scope of improvement of these existing sentiment analysis models. Existing sentiment analysis models can be improved further with more semantic and commonsense knowledge.

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  1. Malaviya National Institute of Technology, Jaipur, India

    Basant Agarwal & Namita Mittal

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  1. Basant Agarwal
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Agarwal, B., Mittal, N. (2016). Conclusions and Future Work. In: Prominent Feature Extraction for Sentiment Analysis. Socio-Affective Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-25343-5_7

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