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Natural Language Processing of Sentiment in Tweets

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  • Quenton Xiao Worcester Academy

Keywords:

linguistics, computer science, computational linguistics, natural language processing, sentiment analysis, tweets, logistic regression

Abstract

We conduct sentiment analysis of tweets using Natural Language Processing (NLP) techniques. The sentiment consists of two polarized values, positive and negative. We describe and use standard techniques in the field, achieving high accuracy.

References or Bibliography

Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada,

Sebastian Raschka. Python machine learning. Packt publishing ltd, 2015.

Cha Zhang and Yunqian Ma. Ensemble machine learning: methods and applications. Springer,

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Posted

09-16-2022

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Copyright (c) 2022 Quenton Xiao

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