sentiment-value

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• vaitybharati / Assignment-11-Text-Mining-01-Elon-Musk

  Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter text. (Removes @usernames), Again Joining the list into one string/text, Remove Punctuation, Remove https or url within text, Converting into Text Tokens, Tokenization, Remove Stopwords, Normalize the data, Stemming (Optional), Lemmatization, Feature Extraction, Using BoW CountVectorizer, CountVectorizer with N-grams (Bigrams & Trigrams), TF-IDF Vectorizer, Generate Word Cloud, Named Entity Recognition (NER), Emotion Mining - Sentiment Analysis.

  text-miningtweets-datasetsentiment-analysiscorrelation-analysissentiment-valuesentiment-scoreaffinity-scoresemotion-lexiconemotion-miningnamed-entity-recognitionpos-taggingword-cloudtfidf-vectorizern-gramscountvectorizerfeature-extractiontext-preprocessingtokenizationclean-tweetslemmatization
  Language:Jupyter Notebook 5