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Entity-based Opinion Mining from Text and Multimedia

Entity-based Opinion Mining from Text and Multimedia
Entity-based Opinion Mining from Text and Multimedia
978-3-319-18457-9
1860-949X
65-86
Springer
Maynard, Diana
08c91134-4de7-403f-aff7-c57daae2c01a
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Maynard, Diana
08c91134-4de7-403f-aff7-c57daae2c01a
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9

Maynard, Diana and Hare, Jonathon (2015) Entity-based Opinion Mining from Text and Multimedia. In, Advances in Social Media Analysis. (Studies in Computational Intelligence, 602) Springer, pp. 65-86. (In Press) (doi:10.1007/978-3-319-18458-6).

Record type: Book Section
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arcomem.pdf - Accepted Manuscript
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Accepted/In Press date: 2015
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 379573
URI: http://eprints.soton.ac.uk/id/eprint/379573
ISBN: 978-3-319-18457-9
ISSN: 1860-949X
PURE UUID: 7a6862ba-f371-436f-b9e0-0b3c08c4ac91
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283

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Date deposited: 23 Jul 2015 14:39
Last modified: 15 Mar 2024 03:25

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Contributors

Author: Diana Maynard
Author: Jonathon Hare ORCID iD

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