Current Proceedings on Technology

Current Proceedings on Technology

Sentiment Analysis Tool using Machine Learning

Yazarlar: Marketa Horakova

Cilt - , Sayı 8 , 2015 , Sayfalar -

Konular:-

Anahtar Kelimeler:Sentiment analysis,Web content mining,Text processing,Machine learning.

Özet: This paper first presents the task of sentiment analysis and discusses its pros and cons when performed on dataextracted from the web. Next, the problems of sentiment analysis in the Czech language are introduced.Currently, there is no sentiment dictionary available for the Czech language. To cope with this problem,supervised machine learning techniques are presented in the article as an approach for the sentiment analysis ofCzech web pages.As part of this research, an application was developed using this approach for the analysis of web content basedon language sentiment. An overview of its structure is included in the next part of the paper. The applicationmodules cover automated text data mining from web pages, text processing and transformation, and machinelearning based sentiment classification of the text. Several classification algorithms were applied and tested onthe Czech text datasets, and their overall accuracy evaluated. The results of a comparison of the accuracy of thealgorithms in the given area are also included in this paper.

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@article{2015, title={Sentiment Analysis Tool using Machine Learning}, number={0}, publisher={Current Proceedings on Technology }, author={Marketa Horakova}, year={2015} }
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Marketa Horakova. (2015). Sentiment Analysis Tool using Machine Learning. Current Proceedings on Technology .
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Marketa Horakova. Sentiment Analysis Tool Using Machine Learning. no. 0, Current Proceedings on Technology , 2015.
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