ryanjgallagher/shifterator
Interpretable data visualizations for understanding how texts differ at the word level
๐ฏ ๅๅฉๅๅฉ(bilibili)่ฏ่ฎบๅบๆฐๆฎๅฏ่งๅๅๆ่ฝฏไปถ-- upไธปๅฏ็จไบๆๅฏผ่ชๅทฑ็้ขๆ้ๆฉ๏ผๆ็กฎ่ชๅทฑ็็ฒไธ็พคไฝ
$ git clone https://github.com/sansan0/bilibili-comment-analyzer.gitInterpretable data visualizations for understanding how texts differ at the word level
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Streaming tweets with Spark, language detection & sentiment analysis, dashboard with Kibana
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Data from GitHub ยท snapshot Sep 24, 2026