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ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed journal published by ACM, covering Topic Modeling, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining. Over its lifetime it has published 1,316 papers, which have received 11,318 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Asian and Low-Resource Language Information Processing 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Asian and Low-Resource Language Information Processing style. No sign-up. |
| Publishes research in | Topic Modeling Natural Language Processing Techniques Sentiment Analysis and Opinion Mining Text and Document Classification Technologies Advanced Text Analysis Techniques |
| ISSN | 2375-4699 |
| Citation impact (2-yr) | 3 |
| h-index | 41 |
| i10-index | 371 |
| Top institutions publishing here | Harbin Institute of Technology |
| Journal website | tallip.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With the fastest growth of information and communication technology (ICT), the availability of web content on social media platforms is increasing day by day. Sentiment analysis from online reviews drawing researchers’ attention from various organizations such as academics, government, and private industries. Sentiment analysis has been a hot research topic in Machine Learning (ML) and…
Depression is a kind of emotion that negatively impacts people's daily lives. The number of people suffering from long-term feelings is increasing every year across the globe. Depressed patients may engage in self-harm behaviors, which occasionally result in suicide. Many psychiatrists struggle to identify the presence of mental illness or negative emotion early to provide…
While research on English opinion mining has already achieved significant progress and success, work on Arabic opinion mining is still lagging. This is mainly due to the relative recency of research efforts in developing natural language processing (NLP) methods for Arabic, handling its morphological complexity, and the lack of large-scale opinion resources for Arabic. To…
Pose-based approaches for sign language recognition provide light-weight and fast models that can be adopted in real-time applications. This article presents a framework for isolated Arabic sign language recognition using hand and face keypoints. We employed MediaPipe pose estimator for extracting the keypoints of sign gestures in the video stream. Using the extracted keypoints, three…
Sentiment analysis is an important sub-task of Natural Language Processing that aims to determine the polarity of a review. Most of the work done on sentiment analysis is for the resource-rich languages of the world, but very limited work has been done on resource-poor languages. In this work, we focus on developing a Sentiment Analysis…
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