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akshaydnicator / Twitter-Sentiment-Analysis-NLP-Hackathon

Star 18

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

nlp machine-learning twitter deep-learning sentiment-analysis hackathon cross-validation spacy neural-networks keras-tensorflow pre-processing punctuation-marks cnn-classification wordvectors sklearn-library features-extraction analytics-vidhya bert-embeddings elmo-vectors lemmetization
  • Updated May 17, 2020
  • Python

mtala3t / Identify-the-Sentiments-AV-NLP-Contest

Star 7

This project is submitted as python implementation in the contest of Analytics Vidhya called "Identify the Sentiments". I enjoyed the joining of this competition and all its process. This submited solution got the rank 118 in the public leaderboard.

nlp tweets sentiment-analysis word2vec sentimental-analysis nlp-machine-learning bert svm-classifier sentiment-classification neural-network-python nlp-datasets tweets-classification elmo bert-model bert-embeddings bert-as-service elmo-vectors
  • Updated May 29, 2020
  • Python

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