Abstract: A method of providing sentiment analysis includes aggregating, by a processor, a plurality of text-based comments, classifying, by the processor, the plurality of text-based comments as being associated with a polarity of sentiment, and generating, by the processor, a plurality of phrases from the plurality of text-based comments. The method also includes identifying, by the processor, a predetermined number of most common phrases for a particular polarity of sentiment from the plurality of phrases and outputting, by the processor, a graphic that includes the predetermined number of most common phrases for the particular polarity of sentiment.

Abstract: A method of providing sentiment analysis includes training a computer system to identify a polarity of a sentiment for a plurality of phrases and receiving, at the computer system, an input from a website. The input includes a text string including a phrase. The method includes determining, by the computer system, the polarity of the sentiment of the phrase by comparing the phrase to the plurality of phrases and sending, by the computer system, a command to the website that causes the website to display predetermined content based on the determined polarity of the sentiment of the phrase.

Abstract: A method of providing sentiment analysis includes aggregating, by a processor, a plurality of text-based comments, classifying, by the processor, the plurality of text-based comments as being associated with a polarity of sentiment, and generating, by the processor, a plurality of phrases from the plurality of text-based comments. The method also includes identifying, by the processor, a predetermined number of most common phrases for a particular polarity of sentiment from the plurality of phrases and outputting, by the processor, a graphic that includes the predetermined number of most common phrases for the particular polarity of sentiment.

Abstract: A method of providing sentiment analysis includes aggregating, by a processor, a plurality of text-based comments, classifying, by the processor, the plurality of text-based comments as being associated with a polarity of sentiment, and generating, by the processor, a plurality of phrases from the plurality of text-based comments. The method also includes identifying, by the processor, a predetermined number of most common phrases for a particular polarity of sentiment from the plurality of phrases and outputting, by the processor, a graphic that includes the predetermined number of most common phrases for the particular polarity of sentiment.

Abstract: A method of providing sentiment analysis includes training a computer system to identify a polarity of a sentiment for a plurality of phrases and receiving, at the computer system, an input from a website. The input includes a text string including a phrase. The method includes determining, by the computer system, the polarity of the sentiment of the phrase by comparing the phrase to the plurality of phrases and sending, by the computer system, a command to the website that causes the website to display predetermined content based on the determined polarity of the sentiment of the phrase.