GitHub / ArtZaragozaGitHub / NLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News

Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArtZaragozaGitHub%2FNLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News

Topics: classifier-training, confusion-matrix, decisiontreeclassifier, eda, glove-embeddings, gridsearchcv, keyedvectors, llama, mistral-7b, myplot, nlp-keywords-extraction, numpy-library, pandas-library, prompt-engineering, sentiment-analysis, sklearn-library, text-processing, text-summarization, transformers-models, word2vec

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