hobinkwak / NLP_on_10-Q_K

Sentimental Analysis on 10-Q and 10-K

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NLP_on_10-Q_K

Sentimental Analysis on 10-Q and 10-K

scraped MD&A text data of 10-K/Q

mapped tokens onto sentiment scores with sentiment Dictionary

vectorized text data using TF-IDF

computed Cosine Similarity to track changes of sentiment scores

computed cointegration between ETF in KRX and the sentiment scores

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Sentimental Analysis on 10-Q and 10-K


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Language:Jupyter Notebook 98.7%Language:Python 1.3%