Abstract
The Sentiment Analysis is sometimes a technique to look at the information that is the form of text and determine opinions content from the text. It is also termed as emotion or feeling mining. On-line communication channels like Twitter, Facebook, YouTube, and so forth are these days a lot of passion into human life. People share their thoughts or feelings thereon. During this review paper, we tend to match on opinion mining or feeling assessment which is an area of web data mining and Machine Learning. This paper shows aftereffect of examination by utilizing different ML and Lexicon investigation methodologies. Outcomes are analyzed to play out an evaluation study and check the estimation of the present composition. In this manner, it will help the future investigators with understanding present beginnings in the configuration of possibility examination.
| Original language | English |
|---|---|
| Pages (from-to) | 601-609 |
| Number of pages | 9 |
| Journal | International Journal of Scientific and Technology Research |
| Volume | 9 |
| Issue number | 2 |
| Publication status | Published - Feb 2020 |
| Externally published | Yes |
Keywords
- Accuracy
- Emotions
- Machine Learning
- NLP
- Opinion
- Sentiment Analysis
- Support vector machine