209sontung/Vietnamese-stock-article-classification
Sentiment-based classification for stock article title using PhoBert
This project helps stock market investors automatically categorize Vietnamese financial news article titles. It takes raw Vietnamese news titles as input and classifies their sentiment as negative, neutral, or positive. This allows investors to quickly understand the market impact of a large volume of news.
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Use this if you need to quickly assess the sentiment of Vietnamese stock news titles to inform your investment decisions.
Not ideal if you need to analyze the full text of articles or if you are interested in languages other than Vietnamese.
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Oct 11, 2021
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