Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines 2022
DOI: 10.4018/978-1-6684-6303-1.ch012
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Classification Approach for Sentiment Analysis Using Machine Learning

Abstract: A utilization of the computational semantics is known as natural language processing or NLP. Any opinion through attitude, feelings, and thoughts can be identified as sentiment. The overview of people against specific events, brand, things, or association can be recognized through sentiment analysis. Positive, negative, and neutral are each of the premises that can be grouped into three separate categories. Twitter, the most commonly used microblogging tool, is used to gather information for research. Tweepy i… Show more

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Cited by 3 publications
(3 citation statements)
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“…Evaluasi merupakan tahapan dalam upaya untuk mengukur keberhasilan suatu sistem dengan membandingkan hasil perolehan implementasi dengan kriteria standar yang telah ditetapkan [10]. Pengukuran evaluasi dilakukan berdasarkan confusion matrix pada Tabel 2.…”
Section: G Evaluasiunclassified
“…Evaluasi merupakan tahapan dalam upaya untuk mengukur keberhasilan suatu sistem dengan membandingkan hasil perolehan implementasi dengan kriteria standar yang telah ditetapkan [10]. Pengukuran evaluasi dilakukan berdasarkan confusion matrix pada Tabel 2.…”
Section: G Evaluasiunclassified
“…The machine learning classification approach has an advantage over others because it can adapt and train the model for a specific purpose or context, but it is less applicable to new data because it requires labeled data that could be costly [13]. An appropriate and fruitful classification model could positively respond to business applications and political activities [14]. The machine learning approach will be supervised if a finite set of classes is used, like positive and negative, and it is getting famous due to text classification [15].…”
Section: Sentiment Analysis Classificationmentioning
confidence: 99%
“…In [23] The authors use a variety of Naive Bayes and Maximum Entropy Models, in addition to other well-known machine learning approaches, to tackle the issue of tweet sentiment analysis. Based on error analysis and feelings that are particular to the distinctive rhetoric and language of Twitter, they also performed some optimizations.…”
Section: Related Workmentioning
confidence: 99%