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When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm paper by Independent / Community
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Paper

When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm

by Independent / Community 01ac19fcde84cd28b73ca5a089b4241175debf02
Free2AITools Nexus Index
63.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 70
P: Popularity 45
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Homecoming, more traditionally known as Mudik, has become a trending topic on several social media platforms as soon as the 11-day homecoming ritual ban was announced on 7 April 2021. Opinions, varying from those in favor of and against the ban, start to rapidly appear. Twitter, a social media platform which is now considered to be an extension of oneself and often used to express ones’ opinion, has become flooded with comments on the homecoming ritual ban. The swarm of opinions in the form o...

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Semantic Scholar 4 Citations
Paper Information Summary
Entity Passport
Registry ID 01ac19fcde84cd28b73ca5a089b4241175debf02
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{01ac19fcde84cd28b73ca5a089b4241175debf02,
  author = {Unknown},
  title = {When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/01ac19fcde84cd28b73ca5a089b4241175debf02}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm [Paper]. Free2AITools. https://api.semanticscholar.org/01ac19fcde84cd28b73ca5a089b4241175debf02

🔬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) 70
Popularity (P) 45
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm: Authority (A:70), Popularity (P:45), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
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📝 Executive Summary

"Homecoming, more traditionally known as Mudik, has become a trending topic on several social media platforms as soon as the 11-day homecoming ritual ban was announced on 7 April 2021. Opinions, varying from those in favor of and against the ban, start to rapidly appear. Twitter, a social media platform which is now considered to be an extension of oneself and often used to express ones’ opinion, has become flooded with comments on the homecoming ritual ban. The swarm of opinions in the form o..."

❝ Cite Node 

@article{Unknown2026When,
  title={When Homecoming is not Coming: 2021 Homecoming Ban Sentiment Analysis on Twitter Data Using Support Vector Machine Algorithm},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈4CitationsSemantic Scholar
🏛️70AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️knowledge retrievalField
📦Data Source: semantic_scholar
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🆔 Identity & Source

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

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
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citations
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