Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

Tagging and Linking Web Forum Posts

We propose a method for annotating postto-post discourse structure in online user forum data, in the hopes of improving troubleshooting-oriented information access. We introduce the tasks of: (1) post classification, based on a novel dialogue act tag set; and (2) link classification. We also introduce three feature sets (structural features, post context features and semantic features) and expe...

content analysis of l1 and l2 writing textbooks and the perception analysis of university professors on the influence of english writing expertise on the persian in an efl context

the importance of writing as a complex skill in applied linguistics has drawn the attention of many researchers to evaluate textbooks in order to help learners gain self-sufficiency and autonomy in the field of language use and communication. investigations have shown that developments in textbooks evaluation can promote the quality of pedagogies and consequently the learning. this study attemp...

OECD Global Forum on Trade GLOBAL FORUM ON TRADE THE MARKET ACCESS CHALLENGE IN THE DOHA DEVELOPMENT AGENDA Background Texts

Predicting the Perceived Quality of Web Forum Posts

Assessing the quality of user generated content is an important problem of Web 2.0. Currently, most web sites need their users to rate content manually, which is labour intensive and thus happens rarely. The automatic systems in the literature are limited to one kind or domain of discourse. We propose a system to assess the quality of user generated discourse automatically. Our system learns fr...

Analysis of Forum Posts Written by Patients and Health Professionals

First, external resources were used to annotate medical words, emotion markers and uncertainty markers on two cleaned corpus which where balanced between the two roles: a train corpus of 4000 posts and a test corpus of 450 posts. Then, a linguistic pre-processing step was applied to replace slangs, users’ tags, emails, hypertext links, etc. and to correct and count misspellings. Finally, a feat...