项目描述 ：
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

高级语言： Python

项目主页： https://agentanakinai.wordpress.com/2019/05/13/twitter-sentiment-analysis-text-summaries-keywords/

项目地址: git://github.com/AgentANAKIN/Dual-Twitter-Sentiment-Analysis-with-4-Text-Summary-Tools-and-Stopwords-Scrubbed-Keywords.git

创建时间： 2019-05-26T06:16:31Z
项目社区：https://github.com/AgentANAKIN/Dual-Twitter-Sentiment-Analysis-with-4-Text-Summary-Tools-and-Stopwords-Scrubbed-Keywords
开源协议：
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