This project attempts to use a mix of traditional NLP techniques including trigrams, HNNs, and SVDs with attempts at LSTM and BERT architectures to predict and analyze sentiment projects - macroeconomic news relevance and Twitter subtext extraction.
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This project attempts to use a mix of traditional NLP techniques including trigrams, HNNs, and SVDs with attempts at LSTM and BERT architectures to predict and analyze sentiment projects - macroeconomic news relevance and Twitter subtext extraction.
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navyamehta/data-sentiment-NLP
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This project attempts to use a mix of traditional NLP techniques including trigrams, HNNs, and SVDs with attempts at LSTM and BERT architectures to predict and analyze sentiment projects - macroeconomic news relevance and Twitter subtext extraction.
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