Foroozan Yazdani et al., 2022 - Google Patents

NgramPOS: a bigram-based linguistic and statistical feature process model for unstructured text classification

Foroozan Yazdani et al., 2022

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Document ID
16092014861255676168
Author
Foroozan Yazdani S
Tan Z
Kakavand M
Mustapha A
Publication year
Publication venue
Wireless Networks

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Snippet

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. In-depth analysis of stock news is now sourced from financial reviews by various social networking …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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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
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