From the beginning of human race they can communicate with each other. In the very first time there was not any language. Human did it by signs and signals. By the revolution of era, humans got smart language to talk, to write and to read. Then they started using languages for gathering knowledge. In that time it was easy because there was a little amount of data to learn. But in course of time the amount of data rised to a huge number. Learning all of the data was quite impossible. As a result generating sentiment value from all these data become so challenging that it could take the lifetime to get the result. Then human started to think how they can increase gathering more knowledge by reducing the time than before. From that thinking AI came and use of machine has been increased and NLP based research started taking place. This work is not different and it aims to make a model for deriving the sentiment from any given English language text.

negetive sentiment

positive sentiment

classification

polarity

Sentiment analysis