Abstract: The subject matter discloses a method for expansion of search queries on large vocabulary continuous speech recognition transcripts comprising: obtaining a textual transcript of audio interaction generated by the large vocabulary continuous speech recognition; generating a topic model from the textual transcripts; said topic model comprises a plurality of topics wherein each topic of the plurality of topics comprises a list of keywords; obtaining a search term; associating a topic from the topic model with the search term; and generating a list of candidate term expansion words by selecting keywords from the list of keywords of the associated topic; said candidate term expansion words are of high probability to be substitution errors of the search term that are generated by the large vocabulary continuous speech recognition.

Abstract: The subject matter discloses a method for expansion of search queries on large vocabulary continuous speech recognition transcripts comprising: obtaining a textual transcript of audio interaction generated by the large vocabulary continuous speech recognition; generating a topic model from the textual transcripts; said topic model comprises a plurality of topics wherein each topic of the plurality of topics comprises a list of keywords; obtaining a search term; associating a topic from the topic model with the search term; and generating a list of candidate term expansion words by selecting keywords from the list of keywords of the associated topic; said candidate term expansion words are of high probability to be substitution errors of the search term that are generated by the large vocabulary continuous speech recognition.

Abstract: A system and method for searching data, such as, text data, using a processing component. A query including one or more terms may be received. At least one term may be automatically added to the query to generate an expanded query set. Entries from one or more information sources, such as, Internet posts, may be retrieved. The retrieved entries may include terms that match terms in the expanded query set. The relevancy of each retrieved entry to the query may be automatically determined. A search result may be provided including a subset of the retrieved entries that are determined to have sufficient relevancy to the query. An output device may display the search result to a client or user.

Abstract: Retrieving data from audio interactions associated with an organization. Retrieving the data comprises: receiving a corpus containing interactions; performing natural language processing on a text document representing an interaction from the corpus; extracting at least one keyphrase from the text document; assigning a rank to the at least one keyphrase; modeling relations between at least two keyphrases using the rank; and identifying topics relevant for the organization from the relations.

Abstract: Obtaining information from audio interactions associated with an organization. The information may comprise entities, relations or events. The method comprises: receiving a corpus comprising audio interactions; performing audio analysis on audio interactions of the corpus to obtain text documents; performing linguistic analysis of the text documents; matching the text documents with one or more rules to obtain one or more matches; and unifying or filtering the matches.