About Sentiment Analysis:
Sentiment Analysis is a process to analyze the textual information and data if the message is positive, negative and neutral. This is also called opinion mining which extracts the emotions within the text or information recorded.
This is also a natural learning technique performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
Types of Sentiment Analysis Algorithm:
- Automatic
- Rule-based
- Hybrid
Benefits of having Sentiment Analysis:
- Upselling opportunities
- Identifying key emotional triggers
- Live Insights
- Customer Service Optimization
- Handling Multiple Clients
Sentiment Analysis Tools:
- TalkWalker
- Idiomatic
- Hotspot Insights
- Meltwater
