An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
In this paper, we address the lack of resources for opinion and emotion analysis related to North African dialects, targeting Algerian dialect. We present TWIFIL (TWItter proFILing) a collaborative annotation platform for crowdsourcing annotation of tweets at different levels of granularity. The plateform allowed the creation of the largest Algerian dialect dataset annotated for both sentiment (9,000 tweets), emotion (about 5,000 tweets) and extra-linguistic information including author profiling (age and gender). The annotation resulted also in the creation of the largest Algerien dialect subjectivity lexicon of about 9,000 entries which can constitute a valuable resources for the development of future NLP applications for Algerian dialect. To test the validity of the dataset, a set of deep learning experiments were conducted to classify a given tweet as positive, negative or neutral. We discuss our results and provide an error analysis to better identify classification errors.
Code (0)
등록된 구현이 없습니다.
Tasks
Author ProfilingEmotion RecognitionSimilar Papers 제목 키워드 기반
SANA : Sentiment Analysis on Newspapers comments in Algeria
It is very current in today life to seek for tracking the people opinion from their interaction with occurring events. A very common way to do that is comments in articles published in newspapers web sites dealing with c…
ArticlesOpinion MiningSentiment AnalysisSentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis
Data annotation is an important but time-consuming and costly procedure. To sort a text into two classes, the very first thing we need is a good annotation guideline, establishing what is required to qualify for each cla…
Sentiment AnalysisTransliterationARAACOM: ARAbic Algerian Corpus for Opinion Mining
Nowadays, it is no more needed to do an enormous effort to distribute a lot of forms to thousands of people and collect them, then convert this from into electronic format to track people opinion about some subjects. A l…
Opinion MiningSentiment AnalysisAn Enhanced Corpus for Arabic Newspapers Comments
In this paper, we propose our enhanced approach to create a dedicated corpus for Algerian Arabic newspapers comments. The developed approach has to enhance an existing approach by the enrichment of the available corpus a…
ClassificationGeneral ClassificationAn Event-comment Social Media Corpus for Implicit Emotion Analysis
The classification of implicit emotions in text has always been a great challenge to emotion processing. Even though the majority of emotion expressed implicitly, most previous attempts at emotions have focused on the ex…
ClassificationEmotion ClassificationEmotion RecognitionGeneral Classification