This codebase contains the python scripts for MAN-S, the model for the EMNLP 2020 paper link.
Python 3.6, Pytorch, and networkx.
pip install -r requirements.txt
Download the dataset from here.
Follow link to generate tweet embeddings.
Generate graph
Follow link to generate the graph.
Execute the following python command to train MAN-SF:
python train.py
Consider citing our work if you use our codebase
@inproceedings{sawhney-etal-2020-deep,
title = "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations",
author = "Sawhney, Ramit and
Agarwal, Shivam and
Wadhwa, Arnav and
Shah, Rajiv Ratn",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.676",
doi = "10.18653/v1/2020.emnlp-main.676",
pages = "8415--8426"}