A Review of Opinion Mining in Twitter Streams

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Published Mar 1, 2018
https://doi.org/10.47164/ijngc.v9i1.138
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Volume 9, Issue 1, March 2018

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Narmeen Khan
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan
Muhammad Naeem Ahmed Khan
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

Abstract

Sentiment analysis refers to the application of natural language processing, computational linguistics and text analysis techniques on the documents to recognize and dig out hidden patterns. Sentiment analysis is generally desired for a variety of utilities, ranging from advertising to user profiling. Sentiment analysis behavior of a user based users judgment or assessment, effective state, or the expected emotional communication. In this paper, we present a review of opinion mining techniques and discover pertinent qualities and shortcomings of various sentiment analysis techniques. The motivation behind this review is to analyze and assess different sentiment analysis techniques and discover their strengths and demerits. This comparisonserves as an impetus to conduct further research to explore better approach for future exploration and insights in the area of sentiment analysis.

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How to Cite
Narmeen Khan, & Muhammad Naeem Ahmed Khan. (2018). A Review of Opinion Mining in Twitter Streams. International Journal of Next-Generation Computing, 9(1), 66–72. https://doi.org/10.47164/ijngc.v9i1.138
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