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https://github.com/parasgarg/context-extraction

The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends, family, etc.) - 'When' denotes, for which part of the day the user dined in (example: lunch, dinner, etc.) - 'Where' denotes, whether the user is local or tourist - 'Occasion' denotes, for which particular occasion the user visited (example: birthday, wedding anniversary, etc.)
https://github.com/parasgarg/context-extraction

context-extraction python scrapper-script text-mining web-analytics web-scrapping

Last synced: about 1 year ago
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The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends, family, etc.) - 'When' denotes, for which part of the day the user dined in (example: lunch, dinner, etc.) - 'Where' denotes, whether the user is local or tourist - 'Occasion' denotes, for which particular occasion the user visited (example: birthday, wedding anniversary, etc.)

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