Sentiment analysis
What is sentiment analysis?
Sentiment analysis looks at pieces of text and figures out if the words express positive, negative or neutral feelings. It can tell if someone is saying something good or bad about a product, company, etc.
How does sentiment analysis work?
Sentiment analysis uses computer programs to understand the meaning behind language.
First, it breaks down the text into individual words and phrases.
Then, it looks at each word and phrase to see if it is positive (like "great" or "amazing") or negative (like "poor" or "dislike").
The program considers how words are used together to figure out the overall sentiment being expressed. It can identify emotional language, sarcasm, and multiple sentiments in the same text.
By analyzing lots of examples, the program gets smarter at accurately detecting positive, negative or neutral feelings.
First, it breaks down the text into individual words and phrases.
Then, it looks at each word and phrase to see if it is positive (like "great" or "amazing") or negative (like "poor" or "dislike").
The program considers how words are used together to figure out the overall sentiment being expressed. It can identify emotional language, sarcasm, and multiple sentiments in the same text.
By analyzing lots of examples, the program gets smarter at accurately detecting positive, negative or neutral feelings.
How is sentiment analysis used in business?
Businesses use sentiment analysis in several ways:
- Understanding customer opinions about their products, services or brand reputation.
- Monitoring social media conversations to see how people feel about the company.
- Analyzing customer support messages or reviews to quickly identify dissatisfied customers.
- Tailoring marketing messages based on the detected sentiments of the audience.
- Having chatbots and virtual assistants respond appropriately to the emotional tone of conversations.
Tags: Chatbots