textrics.ai

                  Sentiment analysis means contextual data mining wherein you input a sentence, and it is categorized according to the underlying consumer emotions. A sentiment analysis system for text analysis combines natural language processing (NLP) and machine learning techniques to assign weighted sentiment scores to the entities, topics, themes, and categories within a sentence or phrase. When we look at any sentence, the human brain searches for sentiment-bearing phrases – that is, words and phrases that carry a tone or opinion and tries to interpret it, usually as adjective-noun combinations. We also draw from our previous experiences and accumulated knowledge to identify each sentiment-bearing phrase and interpret their negativity or positivity. This is precisely how computer sentiment analysis works. It involves deep learning and machine learning techniques that “trains” the system to instinctively recognize nouns and phrases as “offensive” and categorize them accordingly.