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wordcloud-generation

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Abdullah321Umar / Brainwave_Matrix_Intern-TASK2

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♦️ Twitter US Airline Sentiment Analysis ♦️ Applied text preprocessing, NLP, and sentiment classification to analyze positive, neutral, and negative tweets. Created visualizations like sentiment distribution, airline comparisons, and word clouds for key insights. Delivered a cleaned dataset, insightful analysis, and automated PowerPoint report.

python machine-learning natural-language-processing naive-bayes confusion-matrix feature-engineering tokenization model-evaluation communication-skills text-vectorization python-pptx tf-idf-vectorizer classification-algorithms word-frequency-analysis wordcloud-generation programming-environment-skills stemming-lemmatization eda-skills visualization-export
  • Updated Sep 18, 2025
  • Jupyter Notebook

KarthikMahalingam8881 / Text-and-Sentiment-Analysis-of-Political-Rally-Speeches-

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This project analyzes political rally speeches using natural language processing (NLP) and sentiment analysis. It identifies key topics, visualizes trends, and evaluates sentiments to gain insights into public discourse and political communication strategies.

political-speech-analysis sentiment-analysis-nlp speech-data-visualization wordcloud-generation sentiment-trends-by-topic nlp-for-sentiment-analysis spacy-and-bart-models public-discourse-analysis speech-data-tokenization sentiment-comparison-by-topic
  • Updated Feb 21, 2025
  • Jupyter Notebook

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