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Keyword Extraction and Clustering for Document Recommendation in Conversations

Keyword Extraction and Clustering for Document Recommendation in Conversations

Starting at: Rs.4,500.00

4500 reward points

Keyword Extraction and Clustering for Document Recommendation in Conversations

 The problem of keyword extraction from conversations, with the goal of using these keywords to retrieve, for each short conversation fragment, a small number of potentially relevant documents, which can be recommended to participants. However, even a short fragment contains a variety of words, which are potentially related to several topics; moreover, using an automatic speech recognition (ASR) system introduces errors among them. Therefore, it is difficult to infer precisely the information needs of the conversation participants. We first propose an algorithm to extract keywords from the output of an ASR system (or a manual transcript for testing), which makes use of top ic modeling techniques and of a sub modular reward func- tion which favors diversity in the keyword set, to match the potential diversity of topics and reduce ASR noise.


 


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  • Model: PROJ5063
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Thursday 08 September, 2016.

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