Dialogue Modelling in Multi-party Social Media Conversation

Social Media is a rich source of human-human interactions on exhausting number of topics. Although dialogue modeling from human-human interactions is not new, but there is no previous work as far as our knowledge attempting to model dialogues from social media data. This paper implements and compare...

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Bibliographic Details
Published inText, Speech, and Dialogue Vol. 10415; pp. 219 - 227
Main Authors Dutta, Subhabrata, Das, Dipankar
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Dialogue modelling
Facebook comment
Frequency weight score
Sentiment polarity
Online AccessGet full text
ISBN3319642057
9783319642055
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-64206-2_25

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Summary:Social Media is a rich source of human-human interactions on exhausting number of topics. Although dialogue modeling from human-human interactions is not new, but there is no previous work as far as our knowledge attempting to model dialogues from social media data. This paper implements and compares multiple supervised and unsupervised approaches for dialogue modelling from social media conversation; each approach exploiting and unfolding special properties of informal conversations in social media. A new frequency measure is proposed especially for text classification problem in these type of data.
ISBN:3319642057
9783319642055
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-64206-2_25