Sentiment Analysis
Sentiment Analysis is a process of analyzing the sentiment of a text or a set of texts. It is used to determine the attitude of the writer or speaker towards a particular topic. It is used in various fields such as marketing, customer service, and political science. Sentiment Analysis is also known as opinion mining, emotion AI, or opinion extraction.
History of Sentiment Analysis
Sentiment Analysis has been around since the early 2000s. It was first used in the field of marketing to analyze customer feedback and reviews. Since then, it has been used in many other fields such as customer service, political science, and social media analysis. The development of natural language processing (NLP) and machine learning algorithms has made sentiment analysis more accurate and efficient.
Comparison Table
| Sentiment Analysis | Opinion Mining | Emotion AI |
|---|---|---|
| Used to determine the attitude of the writer or speaker towards a particular topic | Used to extract opinions from text | Used to detect emotions from text |
| Uses natural language processing (NLP) and machine learning algorithms | Uses natural language processing (NLP) and machine learning algorithms | Uses natural language processing (NLP) and machine learning algorithms |
Summary
Sentiment Analysis is a process of analyzing the sentiment of a text or a set of texts. It is used to determine the attitude of the writer or speaker towards a particular topic. It is used in various fields such as marketing, customer service, and political science. Sentiment Analysis is also known as opinion mining, emotion AI, or opinion extraction. For more information about this term, you can visit websites such as Sentiment Analysis, Lexalytics, and MeaningCloud.
See Also
- Natural Language Processing (NLP)
- Machine Learning
- Text Analysis
- Opinion Mining
- Emotion AI
- Opinion Extraction
- Text Classification
- Text Mining
- Social Media Analysis
- Customer Service
