Sentiment Analysis
Sentiment analysis refers to the process of determining the emotional tone or attitude expressed in a piece of text, such as positive, negative, or neutral. This analysis often involves using natural language processing and machine learning techniques to identify and extract subjective information from the text to gain insights into the feelings and opinions of the author. Sentiment analysis is used in various applications, including social media monitoring, customer feedback analysis, and market research.
External Links
- [SentimentAnalysis.org] Multilingual Sentiment Vectors for Deep Sentiment Analysis
- [bittsanalytics.com] Crypto Sentiment Analysis - BittsAnalytics Tools for Social Sentiment Analytics, Technical Analysis, Bitcoin Index, 2021 Trends, NFT: non-fungible tokens coverage
- [revuze.it] Sentiment Analysis Customer Feedback Management Tools
- [gryphon.ai] Call Center Compliance, Conversation Intelligence, Call Sentiment Analysis | Gryphon.ai