Sentiment analysis in Turkish

Download

index.pdf

Date

2009

Author

Eroğul, Umut

Metadata

Show full item record

Item Usage Stats

1354
views

508
downloads

Sentiment analysis is the automatic classification of a text, trying to determine the attitude of the writer with respect to a specific topic. The attitude may be either their judgment or evaluation, their feelings or the intended emotional communication. The recent increase in the use of review sites and blogs, has made a great amount of subjective data available. Nowadays, it is nearly impossible to manually process all the relevant data available, and as a consequence, the importance given to the automatic classification of unformatted data, has increased. Up to date, all of the research carried on sentiment analysis was focused on English language. In this thesis, two Turkish datasets tagged with sentiment information is introduced and existing methods for English are applied on these datasets. This thesis also suggests new methods for Turkish sentiment analysis.

Subject Keywords

Computer enginnering., NLP.

URI

http://etd.lib.metu.edu.tr/upload/12610616/index.pdf
https://hdl.handle.net/11511/18638

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Sentiment analysis of Turkish political columns with transfer learning Kaya, Mesut; Toroslu, İsmail Hakkı; Fidan, Güven; Department of Computer Engineering (2013) Sentiment Analysis aims to determine the attitude (sense, emotion, opinion etc.) of a speaker or a writer with respect to a specified topic by automatically classifying a textual data. With the recent explosive growth of the social media content on theWeb, people post reviews of products on merchant sites and express their views about almost anything in their personal blogs, pages at social network sites like Facebook, Twitter, and Blogger. Therefore, sentiment analysis has become a major area of interest i...
Improvement of corpus-based semantic word similarity using vector space model Esin, Yunus Emre; Alpaslan, Ferda Nur; Department of Computer Engineering (2009) This study presents a new approach for finding semantically similar words from corpora using window based context methods. Previous studies mainly concentrate on either finding new combination of distance-weight measurement methods or proposing new context methods. The main di fference of this new approach is that this study reprocesses the outputs of the existing methods to update the representation of related word vectors used for measuring semantic distance between words, to improve the results further. ...
Natural language query processing in ontology based multimedia databases Aygül, Filiz Alaca; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010) In this thesis a natural language query interface is developed for semantic and spatio-temporal querying of MPEG-7 based domain ontologies. The underlying ontology is created by attaching domain ontologies to the core Rhizomik MPEG-7 ontology. The user can pose concept, complex concept (objects connected with an “AND” or “OR” connector), spatial (left, right . . . ), temporal (before, after, at least 10 minutes before, 5 minutes after . . . ), object trajectory and directional trajectory (east, west, southe...
Exploiting information extraction techniques for automatic semantic annotation and retrieval of news videos in Turkish Küçük, Dilek; Yazıcı, Adnan; Department of Computer Engineering (2011) Information extraction (IE) is known to be an effective technique for automatic semantic indexing of news texts. In this study, we propose a text-based fully automated system for the semantic annotation and retrieval of news videos in Turkish which exploits several IE techniques on the video texts. The IE techniques employed by the system include named entity recognition, automatic hyperlinking, person entity extraction with coreference resolution, and event extraction. The system utilizes the outputs of th...
Hanolistic : a hierarchical automatic image annotation system using holistic approach Öztimur, Özge; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2008) Automatic image annotation is the process of assigning keywords to digital images depending on the content information. In one sense, it is a mapping from the visual content information to the semantic context information. In this thesis, we propose a novel approach for automatic image annotation problem, where the annotation is formulated as a multivariate mapping from a set of independent descriptor spaces, representing a whole image, to a set of words, representing class labels. For this purpose, a hiera...

Citation Formats

U. Eroğul, “Sentiment analysis in Turkish,” M.S. - Master of Science, Middle East Technical University, 2009.