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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# sentiment_analysis\n## Description\nAnalysis the sentiment from Tweet, on US Election 2020.  \n### For the download Dataset code, which be commented out in **main-Copy1.ipynb**:\nFinally, I don't have permission to access the X endpoint.  \nI guess It's because industry attach importance to the data which they have.  \nAnother reason may it because My account is free X developer account.  \nI also tried the bearer token still not work.  \nThe error give：  \n`TooManyRequests: 429 Too Many Requests `  \nhttps://developer.x.com/en/portal  \nAbove is the link, I will comment out the code for u.  \nGive it a try, text me for discussing.  \n**Workaround**:  \nI find some dataset from Kaggle, though the data is from 5 years ago,2020.  \nhttps://www.kaggle.com/datasets/manchunhui/us-election-2020-tweets/data  \nLet's keep 15 days data.  from oct 15th to oct 31th.  \n### For nltk download error:  \nError:  \n`[nltk_data] Error loading stopwords: \u003curlopen error Tunnel connection   `\u003cbr\u003e \n`[nltk_data]     failed: 400 Bad Request\u003e     `\u003cbr\u003e\n`[nltk_data] Error loading wordnet: \u003curlopen error Tunnel connection     `\u003cbr\u003e\n`[nltk_data]     failed: 400 Bad Request\u003e   `\u003cbr\u003e\nWorkaround:  \nExecute in code line:  \n`import nltk  \nprint(nltk.data.path)  `\nSelect and open one of the response directory, create a folder called nltk_data  \nDownload from https://github.com/nltk/nltk_data?tab=readme-ov-file  \nExtract only folder corpora to your path nltk_data  \nAnd then you don't need to download stopwords or wordnet components, if u want to use in projects else.  \n##  The 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