# ACM Transactions on Asian and Low-Resource Language Information Processing

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/acm-transactions-on-asian-and-low-resource-language-information-processing/

## Facts

| Field | Value |
| --- | --- |
| Citations | 11,406 |
| h-index | 41 |
| Homepage | https://tallip.acm.org |
| Open Access | false |
| ISSN-L | 2375-4699 |
| ISSNs | 2375-4699,2375-4702 |
| OpenAlex ID | https://openalex.org/S4306421405 |
| Publisher | Association for Computing Machinery |
| Works | 1,325 |

## Journal papers

- [Supervised Machine Learning Method for Ontology-based Financial Decisions in the Stock Market](https://scholariq.org/papers/supervised-machine-learning-method-for-ontology-based-financial-decisions-in-the/)
- [Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews](https://scholariq.org/papers/cognitive-hybrid-deep-learning-based-multi-modal-sentiment-analysis-for-online/)
- [Improving Semantic Coherence of Gujarati Text Topic Model Using Inflectional Forms Reduction and Single-letter Words Removal](https://scholariq.org/papers/improving-semantic-coherence-of-gujarati-text-topic-model-using-inflectional/)

## Journal top topics

Showing 8 of 25.

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.