Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program

Research article (2015 3rd International Conference on Information and Communication Technology (ICoICT), 2015) · cited 28× · AI/ML
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Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program

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Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program is a scholarly article[1].

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  • Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program. Retrieved May 24, 2026, from https://4ort.xyz/entity/sentiment-analysis-on-twitter-using-the-combination-of-lexicon-based-and-support-vector-machine-for-assessing-the-perfor
MLA “Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sentiment-analysis-on-twitter-using-the-combination-of-lexicon-based-and-support-vector-machine-for-assessing-the-perfor.
BibTeX @misc{4ortxyz_sentiment-analysis-on-twitter-using-the-combination-of-lexicon-based-and-support-vector-machine-for-assessing-the-perfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sentiment analysis on Twitter using the combination of lexicon-based and support vector machine for assessing the performance of a television program}}, year = {2026}, url = {https://4ort.xyz/entity/sentiment-analysis-on-twitter-using-the-combination-of-lexicon-based-and-support-vector-machine-for-assessing-the-perfor}, note = {Accessed: 2026-05-24}}
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