12. A document cluster label disambiguation method comprising: selecting a cluster label for a cluster comprising a subset of a plurality of documents of a document set at least in part by co-occurrence of the cluster label and a plurality of terms of the documents of the cluster which are indicative of subject matter content of the documents of the cluster, wherein the subset comprises a plurality of the documents and wherein the cluster label comprises one of a plurality of terms common to at least some of the documents of the cluster and the cluster label comprises a plurality of word senses; determining, for individual ones of the word senses, a plurality of semantic similarity values for respective ones of the terms, wherein the semantic similarity values are individually indicative of a degree of semantic similarity between one of the word senses and one of the terms; analyzing the semantic similarity values determined for respective ones of the word senses; selecting one of the word senses using the analyzing; and wherein the selecting the one of the word senses comprises, using the terms of the documents of the cluster, selecting the one of the word senses having an increased relevancy with respect to the subject matter content of the documents of the cluster compared with the relevancies of others of the word senses.
12. A document cluster label disambiguation method comprising: selecting a cluster label for a cluster comprising a subset of a plurality of documents of a document set at least in part by co-occurrence of the cluster label and a plurality of terms of the documents of the cluster which are indicative of subject matter content of the documents of the cluster, wherein the subset comprises a plurality of the documents and wherein the cluster label comprises one of a plurality of terms common to at least some of the documents of the cluster and the cluster label comprises a plurality of word senses; determining, for individual ones of the word senses, a plurality of semantic similarity values for respective ones of the terms, wherein the semantic similarity values are individually indicative of a degree of semantic similarity between one of the word senses and one of the terms; analyzing the semantic similarity values determined for respective ones of the word senses; selecting one of the word senses using the analyzing; and wherein the selecting the one of the word senses comprises, using the terms of the documents of the cluster, selecting the one of the word senses having an increased relevancy with respect to the subject matter content of the documents of the cluster compared with the relevancies of others of the word senses. 16. The method of claim 12 wherein the selecting the one of the word senses comprises selecting the one of the word senses having a greatest cumulative semantic similarity with respect to the terms.