Finding-Factor-WebCrawling-NLP-Project

Constructing Financial Sentimental Factors in Korean Market Using Natural Language Processing

https://paperswithcode.com/paper/constructing-financial-sentimental-factors-in

1. crawl a lot of news and comments from several influential financial websites automatically

2. use techniques of Natural Language Processing(NLP) under Chinese context, including tokenization, Word2vec word embedding and semantic database WordNet, to compute Senti-scores of these news and comments, and then construct the sentimental factor

3. implement an adjustment of the standard sentimental factor

We will proceed with the project by applying procedures 1 and 2 to the Korean market in the paper presented above.