Context-Extraction
ParasGarg
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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16 data points · 2018-09-01 → 2023-07-01How do you feel about this project?
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Question copied to clipboardWhat is the ParasGarg/Context-Extraction GitHub project? Description: "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.)". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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