Forum Summarization
Randomly sampled 100 threads from the dataset of discussion threads from Ubuntu Forums used in previous research; Ubuntu Forums: Official forum of the Ubuntu Linux distribution
Overview
The crawled web-pages were preprocessed and all the pages belonging to the same thread were identified and processed to identify different structural units and their associated metadata (title, posts, user IDs etc.). Stemming was performed using Porter’s stemmer and stop words were removed using a general stop word list of 429 words used in the Onix Test Retrieval Toolkit.
Dataset Metadata
| Format | License | Domain | Number of Records | Size |
|---|---|---|---|---|
| XML |
CC BY-SA 4.0 | Natural Language Processing | 113,277 discussion threads 25 queries |
104 MB (compressed) |
Citation
@conference{Bhatia2012,
author="Sumit Bhatia
and Prakhar Biyani
and Prasenjit Mitra",
title="Classifying User Messages For Managing Web Forum Data",
booktitle="International Work- shop on the Web and Databases",
year="2012",
pages="13-18
}