Building a fine-grained subjectivity lexicon from a web corpus
نویسندگان
چکیده
In this paper we propose a method to build fine-grained subjectivity lexicons including nouns, verbs and adjectives. The method, which is applied for Dutch, is based on the comparison of word frequencies of three corpora: Wikipedia, News and News comments. Comparison of the corpora is carried out with two measures: log-likelihood ratio and a percentage difference calculation. The first step of the method involves subjectivity identification, i.e. determining if a word is subjective or not. The second step aims at the identification of more fine-grained subjectivity which is the distinction between actor subjectivity and speaker / writer subjectivity. The results suggest that this approach can be usefully applied producing subjectivity lexicons of high quality.
منابع مشابه
Annotating Topics of Opinions
Fine-grained subjectivity analysis has been the subject of much recent research attention. As a result, the field has gained a number of working definitions, technical approaches and manually annotated corpora that cover many facets of subjectivity. Little work has been done, however, on one aspect of fine-grained opinions – the specification and identification of opinion topics. In particular,...
متن کاملEmotiBlog: un esquema de anotación detallado para la sujetividad en los nuevos géneros textuales de la Web 2.0 EmotiBlog: a fine-grained annotation schema for labelling subjectivity in the new-textual genres born with the Web 2.0
The exponential growth of the subjective information in the framework of the Web 2.0 has led to the need to create Natural Language Processing tools able to analyse and process such data for multiple practical applications. These applications require training on specifically annotated corpora, whose level of detail must be fine enough to capture the phenomena involved. This paper presents Emoti...
متن کاملTwitter as a Comparable Corpus to build Multilingual Affective Lexicons
Résumé The main issue of any lexicon-based sentiment analysis system is the lack of affective lexicons. Such lexicons contain lists of words annotated with their affective classes. There exist some number of such resources but only for few languages and often for a small number of affective classes, generally restricted to two classes (positive and negative). In this paper we propose to use Twi...
متن کاملA Topic Model for Building Fine-grained Domain-specific Emotion Lexicon
Emotion lexicons play a crucial role in sentiment analysis and opinion mining. In this paper, we propose a novel Emotion-aware LDA (EaLDA) model to build a domainspecific lexicon for predefined emotions that include anger, disgust, fear, joy, sadness, surprise. The model uses a minimal set of domain-independent seed words as prior knowledge to discover a domainspecific lexicon, learning a fine-...
متن کاملA Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
This paper introduces a method for creating a subjectivity lexicon for languages with scarce resources. The method is able to build a subjectivity lexicon by using a small seed set of subjective words, an online dictionary, and a small raw corpus, coupled with a bootstrapping process that ranks new candidate words based on a similarity measure. Experiments performed with a rule-based sentence l...
متن کامل