awesome-financial-nlp

Researches for Natural Language Processing for Financial Domain
https://github.com/icoxfog417/awesome-financial-nlp

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Financial Applications of NLP
- Classification
  - Word Embeddings-Based Uncertainty Detection in Financial Disclosures - ECONLP, 2018.
  - Detecting money laundering and terrorist financing via data mining - ADF, 2019.
  - A framework for anomaly detection using language modeling, and its applications to finance - ADF, 2019.
  - Deep Learning Models for Bankruptcy Prediction using Textual Disclosures - 758.
  - Sentence Classification for Investment Rules Detection - ECONLP, 2018.
  - Active Learning for Financial Investment Reports - FNLP, 2019.
  - Complaint Analysis and Classification for Economic and Food Safety - ECONLP, 2019.
  - Utilizing Pre-Trained Word Embeddings to Learn Classification Lexicons with Little Supervision - FNLP, 2019.
  - Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain - ECONLP, 2018.
  - Causality Analysis of Twitter Sentiments and Stock Market Returns - ECONLP, 2018.
  - Implicit and Explicit Aspect Extraction in Financial Microblogs - ECONLP, 2018.
  - A Time Series Analysis of Emotional Loading in Central Bank Statements - ECONLP, 2019.
  - Leveraging BERT to Improve the FEARS Index for Stock Forecasting
  - Are You for Real? Detecting Identity Fraud via Dialogue Interactions
  - Tone Analysis in Spanish Financial Reporting Narratives
  - Active Learning for Financial Investment Reports - FNLP, 2019.
  - Complaint Analysis and Classification for Economic and Food Safety - ECONLP, 2019.
  - A Time Series Analysis of Emotional Loading in Central Bank Statements - ECONLP, 2019.
  - Leveraging BERT to Improve the FEARS Index for Stock Forecasting
- Clustering (Unsupervised Classification)
  - Business Taxonomy Construction Using Concept-Level Hierarchical Clustering
  - Business Taxonomy Construction Using Concept-Level Hierarchical Clustering
- Question Answering/Dialog
  - A Simple End-to-End Question Answering Model for Product Information - ECONLP, 2018.
  - Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus - ECONLP, 2019.
  - Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus - ECONLP, 2019.
- Knowledge Extraction
  - Financial Event Extraction Using Wikipedia-Based Weak Supervision - ECONLP, 2019.
  - Forecasting Firm Material Events from 8-K Reports - ECONLP, 2019.
  - Incorporating Fine-grained Events in Stock Movement Prediction - ECONLP, 2019.
  - Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction - ECONLP, 2019.
  - Economic Causal-Chain Search using Text Mining Technology
  - Extracting Complex Relations from Banking Documents - ECONLP, 2019.
  - Unsupervised Word Influencer Networks from News Streams - ECONLP, 2018.
  - Financial Event Extraction Using Wikipedia-Based Weak Supervision - ECONLP, 2019.
  - Forecasting Firm Material Events from 8-K Reports - ECONLP, 2019.
  - Incorporating Fine-grained Events in Stock Movement Prediction - ECONLP, 2019.
  - Economic Causal-Chain Search using Text Mining Technology
- Workshops
  - 2018
  - 2019
  - 2018
  - 2019
  - 2019
  - 2020
  - 2019
  - 2017
  - 2019
- Dataset
  - A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing - ECONLP, 2018.
  - CoFiF: A Corpus of Financial Reports in French Language - ECONLP, 2019.
Reference
- Dataset
  - Machine learning in UK financial services
  - For the First Time, Nasdaq Is Using Artificial Intelligence to Surveil U.S. Stock Market

Categories

Financial Applications of NLP 46 Reference 2

Sub Categories

Classification 19 Knowledge Extraction 11 Workshops 9 Dataset 4 Question Answering/Dialog 3 Clustering (Unsupervised Classification) 2