Opinion mining from a large corpora of natural language reviews
This master thesis is focused on the development of a system for automatically processing a large database of textual hotel reviews in natural language to extract relevant opinions from users on a series of predefined features of quality (service, food, location, etc) The information extracted has t...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099.1/16496 |
| Acceso en línea: | https://hdl.handle.net/2099.1/16496 |
| Access Level: | acceso abierto |
| Palabra clave: | Natural language processing (Computer science) Data mining Tractament del llenguatge natural (Informàtica) Mineria de dades Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural |
| Sumario: | This master thesis is focused on the development of a system for automatically processing a large database of textual hotel reviews in natural language to extract relevant opinions from users on a series of predefined features of quality (service, food, location, etc) The information extracted has to be categorized according to polarity (positive/negative opinions) and arranged so that the final search application can use it to display complementary information of each hotel based on the extracted opinions. Initially a set of hotel reviews is data mined from online sources; a subset of this dataset is then filtered and manually annotated to create a corpus and to help with the creation of a taxonomy for the domain of hotel reviews. A system is then designed to detect, extract and evaluate opinions, and evaluated using the corpus built. |
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