Sentiments - Word and Sentence Analyser

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker. A common use case for this technology is to discover how people feel about a particular topic.

Say you want to know if people on Twitter think that Chinese food in San Francisco is good or bad.

Analyzing tweets for sentiment will answer this question. You can even learn why people think the food is good or bad, by extracting the exact words that indicate why people did or didnt like the food.

* I love the summer in New York, but I hate the winter.
A weak sentiment analysis system will score love the summer as positive and hate the winter as negative.