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Li et al., 2018 - Google Patents

Filtering out the noise in short text topic modeling

Li et al., 2018

Document ID
11720074025215384500
Author
Li X
Wang Y
Zhang A
Li C
Chi J
Ouyang J
Publication year
Publication venue
Information Sciences

External Links

Snippet

Nowadays, massive short texts, such as social media posts and newspaper titles, are available on the Internet. Analyzing these short texts is very significant for many content analysis tasks. However, the commonly used text analysis tools, ie, topic models, lose …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/3066—Query translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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