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Paper

Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code)

by Independent / Community 02004fbe7ee2d92785579a12d8a65d5fc197413d

Free2AITools Nexus Index

65.1

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 75

P: Popularity 50

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

The scope of a lucrative career promoted by Google through its video distribution platform YouTube 1 has attracted a large number of users to become content creators. An important aspect of this line of work is the feedback received in the form of comments which show how well the content is being received by the audience. However, volume of comments coupled with spam and limited tools for comment classification makes it virtually impossible for a creator to go through each and every comment a...

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Semantic Scholar 8 Citations

Paper Information Summary
Entity Passport
Registry ID	02004fbe7ee2d92785579a12d8a65d5fc197413d
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{02004fbe7ee2d92785579a12d8a65d5fc197413d,
  author = {Unknown},
  title = {Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code) Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/02004fbe7ee2d92785579a12d8a65d5fc197413d}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code) [Paper]. Free2AITools. https://api.semanticscholar.org/02004fbe7ee2d92785579a12d8a65d5fc197413d

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 75

Popularity (P) 50

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code): Authority (A:75), Popularity (P:50), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"The scope of a lucrative career promoted by Google through its video distribution platform YouTube 1 has attracted a large number of users to become content creators. An important aspect of this line of work is the feedback received in the form of comments which show how well the content is being received by the audience. However, volume of comments coupled with spam and limited tools for comment classification makes it virtually impossible for a creator to go through each and every comment a..."

❝ Cite Node

@article{Unknown2026Cooking,
  title={Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code)},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈8CitationsSemantic Scholar

🏛️75AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️knowledge retrievalField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 8

Data indexed from public sources. Updated daily.