Sign inGet started
Dataset · Hugging Face

tridm/UIT-VSMEC

Introduction Emotion recognition is a higher approach or special case of sentiment analysis. In this task, the result is not produced in terms of either polarity: positive or negative or in the form of rating (from 1 to 5) but of a more detailed level of sentiment analysis in which the result are depicted in more expressions like sadness, enjoyment, anger, disgust, fear and surprise. Emotion recognition plays a critical role in measuring brand value of a product by recognizing… See the full description on the dataset page: https://huggingface.co/datasets/tridm/UIT-VSMEC.

Author / organizationtridm
Downloads342 (as reported by Hugging Face)
Likes4
Created27 May 2024
Last updated at source27 May 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/a42d6df9-c903-4a7b-8282-a1471967a8ba" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

342 now (+84 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from tridm

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.