Home›Search›Jurnal Linguistik Komputasional

Jurnal Linguistik Komputasional

Indonesia Association of Computational Linguistics (INACL) · Indonesia

eISSN2621-9336

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of computational linguistics and natural language processing techniques to analyze text data. Research includes sentiment analysis of user reviews, social media opinions, and news articles, as well as the development of machine translation systems, text classification for identifying emotions and hoaxes, and named entity recognition. The journal also covers text preprocessing methods, topic modeling, and the use of various machine learning algorithms like Support Vector Machine, Decision Tree, Naive Bayes, Neural Networks, LSTM, and BERT.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionIndonesia

Primary LanguageEnglish, Indonesian

1st Year Published—

FrequencySemester

StatusActive

Total Publications—

Publisher OrgTanjungpura University

Visit Journal Website

Submission Info

Peer ReviewAnonymous peer review

Review Time—

Acceptance Rate—

OA LicenseCC BY-NC-SA

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

8/12 · 67%

✅

Do you know the journal / publisher?

Indonesia Association of Computational Linguistics (INACL)

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

2621-9336

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English, Indonesian

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Edcuational Technology SystemsMultimedia Learning SystemsData Mining and Machine Learning ApplicationsEducational Methods and Media UseInformation Retrieval and Data MiningLinguistics and Language AnalysisDecision Support System ApplicationsAdvanced Text Analysis TechniquesTopic ModelingSentiment Analysis and Opinion Mining