An empirical evaluation of text representation schemes to filter the social media stream-Reference-Cited by-同舟云学术

An empirical evaluation of text representation schemes to filter the social media stream

Published:2021-04-24 Issue: Volume: Page:1-27
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Modha Sandip¹²^ORCID,Majumder Prasenjit¹,Mandl Thomas¹³^ORCID

Affiliation:

1. Information Retrieval and Language Processing Lab, DA-IICT Gandhinagar, India

2. Information Retrieval and Language Processing Lab, LDRP-ITR, Gandhinagar, India

3. Information Retrieval and Language Processing Lab, University of Hildesheim, Hildesheim, Germany

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2021.1907792

Reference62 articles.

1. Text Authorship Identified Using the Dynamics of Word Co-Occurrence Networks

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3. Graph-based text classification

4. Arora, S., Liang, Y. & Ma, T. (2017). A simple but tough-to-beat baseline for sentence embeddings. In International conference on Learning representations. (ICLR) April 2017 - Toulon, France

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