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Tungthamthiti et al., 2014 - Google Patents

Recognition of sarcasms in tweets based on concept level sentiment analysis and supervised learning approaches

Tungthamthiti et al., 2014

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Document ID
16876638499548974057
Author
Tungthamthiti P
Shirai K
Mohd M
Publication year
Publication venue
Proceedings of the 28th Pacific Asia conference on language, information and computing

External Links

Snippet

Sarcasm is a form of communication that is intended to mock or harass someone by using words with the opposite of their literal meaning. However, identification of sarcasm is somewhat difficult due to the gap between its literal and intended meaning. Recognition of …
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Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
    • GPHYSICS
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    • G06F17/2765Recognition
    • G06F17/277Lexical analysis, e.g. tokenisation, collocates
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G06K9/6807Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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    • G10L15/00Speech recognition
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    • G10L15/18Speech classification or search using natural language modelling

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