Phrase-level Polarity Identification for Bangla
نویسندگان
چکیده
In this paper, opinion polarity classification on news texts has been carried out for a less privileged language Bengali using Support Vector Machine (SVM). The present system identifies semantic orientation of an opinionated phrase as either positive or negative. The classification of text as either subjective or objective is clearly a precursor to determining the opinion orientation of evaluative text since objective text is not evaluative by definition. A rule based subjectivity classifier has been used. The present system is a hybrid approach to the problem, works with lexicon entities and linguistic syntactic feature. Evaluation results have demonstrated a precision of 70.04% and a recall of 63.02%.
منابع مشابه
Opinion-Polarity Identification in Bengali
In this paper, opinion polarity classification on news texts has been carried out for a less privileged language Bengali using Support Vector Machine (SVM) 1 . The present system identifies semantic orientation of an opinionated phrase as either positive or negative. The classification of text as either subjective or objective is clearly a precursor to determine the opinion orientation of evalu...
متن کاملEnglish to Bangla Phrase-Based Machine Translation
Machine Translation (MT) is the task of automatically translating a text from one language to another. In this work we describe a phrase-based Statistical Machine Translation (SMT) system that translates English sentences to Bangla. A transliteration module is added to handle outof-vocabulary (OOV) words. This is especially useful for low-density languages like Bangla for which only a limited a...
متن کاملDoes negation really matter?
We explore the role negation and speculation identification plays in the multi-label document-level classification of medical reports for diseases. We identify the polarity of assertions made on noun phrases which reference diseases in the medical reports. We experiment with two machine learning classifiers: one based upon Lucene and the other based upon BoosTexter. We find the performance of t...
متن کاملRecognizing Contextual Polarity in Phrase-Level Sentiment Analysis
This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions. With this approach, the system is able to automatically identify the contextual polarity for a large subset of sentiment expressions, achieving results that are significantly better than baseline.
متن کاملHistory ( forward n - gram ) or Future ( backward n - gram ) ? Which model to consider for n - gram analysis in Bangla ?
This paper presents a directional advantage of n-gram modeling in terms of backward or forward n-gram modeling in Bangla. The most commonly used n-gram analysis is predominantly a forward n-gram. However in Bangla it appears that a backward n-gram is repeatedly more successful and yields more grammatical results than a forward n-gram. This paper hypothesizes that the rationale behind this succe...
متن کامل