7. A computer-implemented method for grouping words, the method comprising: obtaining feature words from a first corpus of text bodies comprising a plurality of reviews; creating 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 assigning topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determining topic counts for preliminarily assigned topics; after determining the topic counts, finally assigning one or more of the topics to the feature words based on a topic count value, comprising: assigning the one or more topics that have a highest topic count value to the feature words; and assigning the one or more topics that have a threshold topic count value relative to the highest topic count value; and presenting 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.
7. A computer-implemented method for grouping words, the method comprising: obtaining feature words from a first corpus of text bodies comprising a plurality of reviews; creating 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 assigning topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determining topic counts for preliminarily assigned topics; after determining the topic counts, finally assigning one or more of the topics to the feature words based on a topic count value, comprising: assigning the one or more topics that have a highest topic count value to the feature words; and assigning the one or more topics that have a threshold topic count value relative to the highest topic count value; and presenting 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. 10. The method of claim 7 , wherein determining the topic count comprises: determining a particular topic count as an aggregate of the number of assignments of a particular topic to a particular feature word across all the filtered reviews in the second corpus.