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awesome-financial-nlp

Researches for Natural Language Processing for Financial Domain.

Financial Applications of NLP

Text data is one of the important resources for the financial domain. For example, we read the news when buying stock and we evaluate the plan when providing finance. In the past, the volume and velocity of textual data were manageable enough to be manually analyzed by teams of human experts but recent growth is intractable. Recent progress of NLP techniques helps this situation and it will reveal how the experts determine various judgements.

Application

Classification

Sentiment Analysis

Clustering (Unsupervised Classification)

Question Answering/Dialog

Knowledge Extraction

Event extraction

Relation Extraction

Workshops

Dataset

Reference