First published 10/3/2026, 9:41:15 PM · Last updated 10/3/2026, 9:41:15 PM

Aspect-Based Sentiment Analysis of Indonesian Internet Service Provider Reviews Using FineTuned IndoBERT and Clause Segmentation

An IEEE proceedings article describes a study that applies fine-tuned IndoBERT and clause segmentation to analyze sentiment in reviews of Indonesian internet service providers. The source metadata identifies the item as a proceedings article published by IEEE on 2026-08-01.

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Categories: technology, science-and-space

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 6/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 4/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 2/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 5/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

It documents a computational approach for extracting aspect-based sentiment from Indonesian ISP customer reviews.

Sources

Aspect-Based Sentiment Analysis of Indonesian Internet Service Provider Reviews Using FineTuned IndoBERT and Clause SegmentationMetadata provided by Crossref. Usage terms

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