Identifying Argumentative Discourse Structures in Persuasive Essays

Text mining project at Universitat Passau

tools

1.Python 2.7
Python libraries
Pandas
Numpy
Scipy
gensim
Scikit learn
nltk library
Pycharm or suitable IDE tool
Brat reader ,Integrated with the project

Datasets Train and Test

Christian Stab and Iryna Gurevych. 2014. Annotating argument components and relations in persuasive essays. In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin, Ireland
Christian Stab and Iryna Gurevych. 2016. Parsing Argumentation Structure in Persuasive Essays. arXiv preprint, https://arxiv.org/abs/1604.07370

Note

Certain blocks of code has been commented since it needs to be compiled once , if Datasets are changed picklefiles needs to be trained again

Steps to Load and train your dataset

Collect corpus which should be annotated as shown below in the link
Example for annotated data
Bratreader
Using the above bratreader to extract each annotated essay as annotated object which contains several attributes which are used in Data preprocessing
- Place the annotated files ".ann" at "ArgumentMining-Backend/bratessays/"

Usage

Usage Instructions

Metrics

This project is only for education purpose only !!