13. A computer system for grouping words, comprising: a computer memory to store program code; and a processor to execute the program code to: obtain feature words from a first corpus of text bodies comprising a plurality of reviews; create a second corpus using a combination of the obtained feature words, verbs and adjectives from the first corpus, wherein the second corpus comprises filtered reviews and each of the filtered reviews pertains to a review of the plurality of reviews; preliminarily assign topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determine topic counts for preliminarily assigned topics; after determining the topic counts, finally assign one or more of the topics to the feature words based on a topic count value, comprising: assign the one or more topics that have a highest topic count value to the feature words; and assign the one or more topics that have a threshold topic count value relative to the highest topic value; and present on a user interface at least one topic as a group of the feature words for which the at least one topic is assigned based on the topic count value.
13. A computer system for grouping words, comprising: a computer memory to store program code; and a processor to execute the program code to: obtain feature words from a first corpus of text bodies comprising a plurality of reviews; create a second corpus using a combination of the obtained feature words, verbs and adjectives from the first corpus, wherein the second corpus comprises filtered reviews and each of the filtered reviews pertains to a review of the plurality of reviews; preliminarily assign topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determine topic counts for preliminarily assigned topics; after determining the topic counts, finally assign one or more of the topics to the feature words based on a topic count value, comprising: assign the one or more topics that have a highest topic count value to the feature words; and assign the one or more topics that have a threshold topic count value relative to the highest topic value; and present on a user interface at least one topic as a group of the feature words for which the at least one topic is assigned based on the topic count value. 17. The system of claim 13 , wherein the first corpus is a non-generic corpus of text bodies.