Improving Sentence-level Subjectivity Classification through Readability Measurement
نویسنده
چکیده
We show that the quality of sentence-level subjectivity classification, i.e. the task of deciding whether a sentence is subjective or objective, can be improved by incorporating hitherto unused features: readability measures. Hence we investigate in 6 different readability formulae and propose an own. Their performance is evaluated in a 10-fold cross validation setting using machine learning. Thereby, it is demonstrated that sentence-level subjectivity classification benefits from employing readability measures as features in addition to already well-known subjectivity clues.
منابع مشابه
Improving the Readability of ASR Results for Lectures Using Multiple Hypotheses and Sentence-Level Knowledge
This paper presents a novel method for improving the readability of automatic speech recognition (ASR) results for classroom lectures. Because speech in a classroom is spontaneous and contains many ill-formed utterances with various disfluencies, the ASR result should be edited to improve the readability before presenting it to users, by applying some operations such as removing disfluencies, d...
متن کاملOn Improving the Accuracy of Readability Classification using Insights from Second Language Acquisition
We investigate the problem of readability assessment using a range of lexical and syntactic features and study their impact on predicting the grade level of texts. As empirical basis, we combined two web-based text sources, Weekly Reader and BBC Bitesize, targeting different age groups, to cover a broad range of school grades. On the conceptual side, we explore the use of lexical and syntactic ...
متن کاملImproving Subjectivity Detection using Unsupervised Subjectivity Word Sense Disambiguation
In this work, we present a sentence-level subjectivity detection method, which relies on Subjectivity Word Sense Disambiguation (SWSD). We use an unsupervised sense clustering-based method for SWSD. In our method, semantic resources tagged with emotions and sentiment polarities are used to apply subjectivity detection, intervening Word Sense Disambiguation sub-tasks. Through an experimental stu...
متن کاملLanguage Independent Sentence-Level Subjectivity Analysis with Feature Selection
Identifying and extracting subjective information from News, Blogs and other user generated content has lot of applications. Most of the earlier work concentrated on English data. But, recently subjectivity related research at sentence-level in other languages has increased. In this paper, we achieve sentence-level subjectivity classification using language independent feature weighing and sele...
متن کاملBayesian Models for Sentence-Level Subjectivity Detection
This paper proposes subjLDA for sentence-level subjectivity detection by modifying the latent Dirichlet allocation (LDA) model through adding an additional layer to model sentence-level subjectivity labels. A variant, called joint-subjLDA, has also been described. The model inference and parameter estimation algorithms, and Gibbs sampling procedure are presented.
متن کامل