1. A method comprising: determining a first context from among a plurality of contexts; based on the first context, identifying a first technique for analyzing text data, wherein each context of the plurality of contexts is associated with a different technique for analyzing text data; using the first technique to analyze a string of text that was generated based on audio data; wherein using the first technique comprises identifying a plurality of text segments based on one or more criteria, wherein each segment of the plurality of text segments comprises one or more words in the string of text, wherein at least one text segment of the plurality of text segments comprises a plurality of words; organizing the plurality of text segments into a list of items, wherein each text segment is a separate item in the list; wherein the method is performed by one or more computing devices.
1. A method comprising: determining a first context from among a plurality of contexts; based on the first context, identifying a first technique for analyzing text data, wherein each context of the plurality of contexts is associated with a different technique for analyzing text data; using the first technique to analyze a string of text that was generated based on audio data; wherein using the first technique comprises identifying a plurality of text segments based on one or more criteria, wherein each segment of the plurality of text segments comprises one or more words in the string of text, wherein at least one text segment of the plurality of text segments comprises a plurality of words; organizing the plurality of text segments into a list of items, wherein each text segment is a separate item in the list; wherein the method is performed by one or more computing devices. 7. The method of claim 1 , wherein identifying the plurality of text segments comprises identifying the plurality of text segments based on a database of phrases, wherein each phrase in the database comprises one or more words.