15. The system of claim 11 , wherein identifying, for a non-stop word included in the set of non-stop words in the text, a corresponding related topic cluster includes: looking up in a mapping of non-stop words to related topic clusters any candidate related topic clusters that map to the non-stop word; in the event that a plurality of candidate related topic clusters are found to map to the non-stop word, comparing similarities of cluster identifiers of the plurality of candidate related topic clusters with the non-stop word and with one or more neighboring non-stop words in the text; and selecting as the related topic cluster the candidate related topic cluster having the greatest similarity with the non-stop word and with the one or more neighboring non-stop words in the text.
11. A system, comprising: one or more processors configured to: generate a plurality of topic clusters, wherein a topic cluster among the plurality of topic clusters comprises a corresponding plurality of topically related words and a corresponding cluster identifier, the generation including: selecting a set of potential seed words from a data set; filtering the set of potential seed words to remove potential seed words within a threshold similarity of each other; forming a set of seed words based at least in part on the filtered set of potential seed words; and for a seed word in the set of seed words, forming a topic cluster comprising topically related words found in the data set, the topically related words being topically related to the seed word; identify, for a set of non-stop words in a text, a corresponding set of related topic clusters relating to the set of non-stop words, the identification being based at least in part on the plurality of topic clusters; for non-stop words in the set of non-stop words that are identified to have corresponding related topic clusters, replace the non-stop words with corresponding cluster identifiers of the corresponding set of related topic clusters to generate a clustered version of the text; and provide the clustered version of the text to be further analyzed; one or more memories coupled to the one or more processors and configured to provide the one or more processors with instructions.