Abstract: Semantic search systems and methods, and non-transitory computer readable media, include receiving divided text of at least two participants from a customer interaction; applying a clustering algorithm to the divided text to create a plurality of word clusters per participant, wherein each word cluster comprises topic words, phrases, or sentences; applying a word-embedding algorithm to the topic words, phrases, or sentences in each word cluster to produce a numeric representation of each word cluster; and storing the numeric representation of each word cluster and the topic words, phrases, or sentences in each word cluster in a document.

Abstract: A method, system, and non-transitory processor-readable storage medium for automatic key phrase rule generation for automatic key phrase extraction including: receiving a corpus sample including a plurality of documents containing text, receiving a plurality of identified key phrases which relate to a topic of the text of at least one corresponding document; assigning a part-of-speech to each word in the corpus sample; generating a part-of-speech pattern from each identified key phrase; and generating key phrase rules.

Abstract: Systems and methods for sentiment lexicon expansion receive at least a domain specific corpus comprising a plurality of words, and a generic sentiment lexicon; parse the plurality of words in the domain specific corpus into a plurality of dependency relations; identify, using one or more syntactic dependency rules and at least one of the plurality of dependency relations, a set of one or more sentiment candidates in the domain specific corpus; filter from the set of one or more sentiment candidates any sentiment candidate having an expected performance below a predefined threshold; sample the filtered set of one or more sentiment candidates to be used in a qualitative evaluation; and, for each sentiment candidate that passes the qualitative evaluation, add the sentiment candidate to the generic sentiment lexicon.

Abstract: A method, system, and non-transitory processor-readable storage medium for automatic key phrase rule generation for automatic key phrase extraction including: receiving a corpus sample including a plurality of documents containing text, receiving a plurality of identified key phrases which relate to a topic of the text of at least one corresponding document; assigning a part-of-speech to each word in the corpus sample; generating a part-of-speech pattern from each identified key phrase; and generating key phrase rules.

Abstract: Systems and methods for sentiment lexicon expansion receive at least a domain specific corpus comprising a plurality of words, and a generic sentiment lexicon; parse the plurality of words in the domain specific corpus into a plurality of dependency relations; identify, using one or more syntactic dependency rules and at least one of the plurality of dependency relations, a set of one or more sentiment candidates in the domain specific corpus; filter from the set of one or more sentiment candidates any sentiment candidate having an expected performance below a predefined threshold; sample the filtered set of one or more sentiment candidates to be used in a qualitative evaluation; and, for each sentiment candidate that passes the qualitative evaluation, add the sentiment candidate to the generic sentiment lexicon.