Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/106467
Title: | Detecting arguments similarity to compact on-line debates |
Author: | Soler Planas, Martí |
Director/Tutor: | López Sánchez, Maite Rodríguez-Aguilar, Juan A. (Juan Antonio) |
Keywords: | Tractament del llenguatge natural (Informàtica) Aprenentatge automàtic Treballs de fi de grau Xarxes socials en línia Anàlisi de la conversa Discussió Natural language processing (Computer science) Machine learning Bachelor's theses Online social networks Conversation analysis Discussion |
Issue Date: | 30-Jun-2016 |
Abstract: | Discussion has changed enormously over the last decades. Thanks to the internet and advancements on the field, we are able to have larger communities in a discussion and get higher quality results from it than ever before. Having a large number of individuals involved has lots of benefits, but it also carries some challenges. As a discussion grows larger, people have a tendency to start repeating arguments, this has been traditionally handled by a team of moderators. In this work we analyse the properties of these arguments, and we take advantage of those properties to make a specialized method to automatically detect syntactically different but semantically equivalent arguments. Thus reducing the amount of work carried out by moderators. We do so with the help of natural language processing and machine learning techniques. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Maite López Sánchez i Juan Antonio Rodríguez-Aguilar |
URI: | http://hdl.handle.net/2445/106467 |
Appears in Collections: | Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
memoria.pdf | Memòria | 2.49 MB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License