neyrajy/Covid19VaccineSentimentAnalysis

Sentiment analysis and Topic modeling for Twitter Data collected using the keywords “Covid19 vaccine in Africa” # Covid19VaccineSentimentAnalysis Sentiment analysis and Topic modeling for Twitter Data collected using the keywords 'Covid19 vaccine in Africa' Social media websites like twitter can be used as a data source for mining public opinion on a variety of subjects including public health. “Sentiment analysis: the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer’s attitude towards a particular topic, product, etc. is positive, negative, or neutral.” — Oxford English Dictionary “Topic modeling is a machine learning technique that automatically analyzes text data to determine cluster words for a set of documents. Latent Dirichlet Allocation (LDA) is an example of a topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.” — Suan Li(3) This Dataset show tips on how to collect data from twitter using Twint package, data extraction, data processing, data exploration, Sentiment analysis and Topic modeling for Twitter Data collected using the keywords “Covid19 vaccine in Africa”