Sentiment Analysis for Low Resource Languages: A Study on Informal Indonesian Tweets
This paper describes our attempt to build a sentiment analysis system for Indonesian tweets. With this system, we can study and identify sentiments and opinions in a text or document computationally. We used four thousand manually labeled tweets collected in February and March 2016 to build the model. Because of the variety of content in tweets, we analyze tweets into eight groups in total, including pos(itive), neg(ative), and neu(tral). Finally, we obtained 73.2{\%} accuracy with Long Short Term Memory (LSTM) without normalizer.
Code (0)
등록된 구현이 없습니다.
Tasks
POSSentiment AnalysisSimilar Papers 제목 키워드 기반
Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa
Sentiment analysis (SA) plays a vital role in Natural Language Processing (NLP) by ~identifying sentiments expressed in text. Although significant advances have been made in SA for widely spoken languages, low-resource l…
Sentiment AnalysisAdapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
Nowadays, an abundance of short text is being generated that uses nonstandard writing styles influenced by regional languages. Such informal and code-switched content are under-resourced in terms of labeled datasets and …
ClassificationGeneral ClassificationLexical NormalizationSentiment Analysis+2Opinion Mining on Non-English Short Text
As the type and the number of such venues increase, automated analysis of sentiment on textual resources has become an essential data mining task. In this paper, we investigate the problem of mining opinions on the colle…
Opinion MiningSentiment AnalysisTUNIZI: a Tunisian Arabizi sentiment analysis Dataset
On social media, Arabic people tend to express themselves in their own local dialects. More particularly, Tunisians use the informal way called "Tunisian Arabizi". Analytical studies seek to explore and recognize online …
MarketingSentiment AnalysisSentiPers: A Sentiment Analysis Corpus for Persian
Sentiment Analysis (SA) is a major field of study in natural language processing, computational linguistics and information retrieval. Interest in SA has been constantly growing in both academia and industry over the rec…
Information RetrievalOpinion MiningRetrievalSentence+1