FINCHAN: A grammar-based tool for automatic comprehension of financial instant messages

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Instant messaging (IM) has gained huge popularity, not only in the social space, but in many sectors of work and every- day life. One such sector is finance, where IMs are used for bargaining, trading and many other financial information ex- changes between parties. A popular IM software in finance is the Instant Bloomberg (IB). The conversations (chat histo- ries) recorded via IB often contain crucial information about the financial positions of the market, quotes for di erent in- struments, as well as unimportant texts. Automatic compre- hension of this type of text is a natural language processing task. In this paper we employ front-end compiler analyses in the automatic comprehension and summarisation of financial chats retrieved from IB. Taking the result, we present a software tool called FINCHAN that takes lengthy chat his- tories and attempts to recognise the syntax up to a success rate of 98%, extracts semantic information to 61% success rate, generates concise summaries of these chats, and offers analyses of hidden patterns, text-to-speech synthesis of generated summaries, with functionalities for archiving/in dexing IMs.

Original languageEnglish
Title of host publicationSAICSIT 2016 - Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
EditorsDustin T van der Haar, Duncan A. Coulter, Marijke Coetzee, Elize M. Ehlers, Carl Marnewick, Frans F. Blauw, Wai Sze Leung
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450348058
DOIs
Publication statusPublished - 26 Sept 2016
Externally publishedYes
Event2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, SAICSIT 2016 - Johannesburg, South Africa
Duration: 26 Sept 201628 Sept 2016

Publication series

NameACM International Conference Proceeding Series
Volume26-28-September-2016

Conference

Conference2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, SAICSIT 2016
Country/TerritorySouth Africa
CityJohannesburg
Period26/09/1628/09/16

Keywords

  • Comprehension
  • Context-free grammar
  • Financial instant messages
  • Instant bloomberg
  • Summarisation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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