Sentiment analysis is a technique in which text mining is done for contextual information. The contextual information is identified and extracted from the source material. It helps businesses understand the sentiment for their products, securities, or assets. It can be very effective to use the advanced techniques of artificial intelligence for in-depth research in the area of text analysis. It is important to classify the transactions around the following concepts:
- The aspect of security the buyers and sellers care about
- Customers' intentions and reactions concerning the securities
Sentiment analysis is known to be the most common text analysis and classification tool. It receives an incoming message or transaction and classifies it depending on whether the sentiment associated with the transaction is positive, negative, or neutral. By using the sentiment analysis technique, it is possible to...