ACTSA: Annotated Corpus for Telugu Sentiment Analysis
نویسندگان
چکیده
Sentiment analysis deals with the task of determining the polarity of a document or sentence and has received a lot of attention in recent years for the English language. With the rapid growth of social media these days, a lot of data is available in regional languages besides English. Telugu is one such regional language with abundant data available in social media, but it’s hard to find a labelled data of sentences for Telugu Sentiment Analysis. In this paper, we describe an effort to build a gold-standard annotated corpus of Telugu sentences to support Telugu Sentiment Analysis. The corpus, named ACTSA (Annotated Corpus for Telugu Sentiment Analysis) has a collection of Telugu sentences taken from different sources which were then preprocessed and manually annotated by native Telugu speakers using our annotation guidelines. In total, we have annotated 5410 sentences, which makes our corpus the largest resource currently available. The corpus and annotation guidelines are made publicly available.
منابع مشابه
A Hungarian Sentiment Corpus Manually Annotated at Aspect Level
In this paper we present a Hungarian sentiment corpus manually annotated at aspect level. Our corpus consists of Hungarian opinion texts written about different types of products. The main aim of creating the corpus was to produce an appropriate database providing possibilities for developing text mining software tools. The corpus is a unique Hungarian database: to the best of our knowledge, no...
متن کاملAspect-Level Sentiment Analysis in Czech
This paper presents a pioneering research on aspect-level sentiment analysis in Czech. The main contribution of the paper is the newly created Czech aspectlevel sentiment corpus, based on data from restaurant reviews. We annotated the corpus with two variants of aspect-level sentiment – aspect terms and aspect categories. The corpus consists of 1,244 sentences and 1,824 annotated aspects and is...
متن کاملThe Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo
Sentiment analysis on social media represented by Weibo is one of the hotspot research problems in NLP. A comprehensive and systematic fine-grained annotated corpus plays a significance role. In this paper, considering the characteristics of Weibo, we focus on the constitution of a fine-grained, hierarchical opinion annotated corpus and design a set of labelling specification. We manually annot...
متن کاملAn Arabic Twitter Corpus for Subjectivity and Sentiment Analysis
We present a newly collected data set of 8,868 gold-standard annotated Arabic twitter feeds. The corpus is manually labelled for subjectivity and sentiment analysis (SSA) (κ = 0.816). In addition, the corpus is annotated with a variety of linguistically motivated feature-sets that have previously shown positive impact on classification performance. The paper highlights issues posed by twitter a...
متن کاملMOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
People are sharing their opinions, stories and reviews through online video sharing websites every day. Studying sentiment and subjectivity in these opinion videos is experiencing a growing attention from academia and industry. While sentiment analysis has been successful for text, it is an understudied research question for videos and multimedia content. The biggest setbacks for studies in thi...
متن کامل