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Joint Text Mining with Heterogeneous Data

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Machine Learning for Text

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Abstract

In Web and social media networks, the text documents are often associated with nodes. For example, the Web can be a viewed as a graph in which each node contains a Web page and also connects to other nodes via hyperlinks. Similarly, a social network is a friendship graph of user-to-user linkages in which each node contains the textual posting activity of the user.

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Notes

  1. 1.

    The libraries libFM and libMF are different.

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Authors and Affiliations

  1. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

    Charu C. Aggarwal

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Aggarwal, C.C. (2018). Joint Text Mining with Heterogeneous Data. In: Machine Learning for Text. Springer, Cham. https://doi.org/10.1007/978-3-319-73531-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-73531-3_8

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  • Online ISBN: 978-3-319-73531-3

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