LokAwaz: Indian Civic News Articles with Sentiment Labels
Available on 1 platform
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Description
LokAwaz is a dataset of Indian civic news articles published on Kaggle. The dataset likely contains text for sentiment analysis, as suggested by its title and platform tags. The author, organization, size, and specific content details are unknown and require verification.
Use Cases
Train a sentiment classifier on news articles (inferred from domain, verify after download)
Analyze public discourse on civic issues in India (inferred from domain, verify after download)
Benchmark NLP models on domain-specific text (inferred from domain, verify after download)
Strengths
Published on Kaggle, a major platform for data science.
Platform tags indicate a focus on Natural Language Processing.
Limitations
Metadata is minimal; actual content requires verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
Source
Kaggle
Collection Method
How gathered is unknown.
Time Range
Temporal coverage is unknown.
Freshness
Last updated date is unknown; freshness unverified.
Geography
Spatial coverage is inferred to be India from the title.
License is unknown; check Kaggle page for terms before use.