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Nallur Contextual and Social-Media Analysis Dashboard

Explore the records

Data filters

Overall analysis

Patterns across the dataset

Distribution of Comments by Main Topic

Counts and shares across topics in the current filtered view.

Overall Comment Sentiment

Sentiment coding among comments in the current filtered view.

Sentiment Share within Each Main Topic

Each bar shows the percentage composition of sentiment within a topic.

Platform Distribution

Positive and Negative Discussion by Topic

Share of Festival-Related Discussion

This chart shows the share of records categorized under Nallur Festival. It does not measure actual festival attendance.

Tourism-Related Discussion

Tourism-related share of total discussion—

Topic analysis

Six dimensions of perception

Combined dataset

Key Findings

Coded interpretation

Key Problems and Potentials

Based on topic and sentiment coding within the combined dataset.

Problem and potential indicators by topic

Main concerns

    Main potentials

      Most-engaged topic

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      Average likes per engaged comment

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      Top five comments by engagement

      Sources and dates

      Source and Date Analysis

      Discussion by Source

      Top valid, titled source videos ranked by comments in the current view.

      Comments Over Time

      Monthly comment and sentiment totals, shown only when at least five reliable dates exist.

      Language patterns

      Common words

      Word frequency is primarily optimized for English-language comments. Tamil-language comments may require separate language processing.

      Study area

      Interactive Nallur map

      Landmarks and the one-kilometre study area surrounding Nallur Kandaswamy Kovil.

      Loading map…
      CommentMain topicSentimentPlatformComment dateSource

      Transparency

      Data methodology

      This dashboard uses a combined social-media perception dataset containing collected comments and clearly labelled modelled example records.

      Percentages describe the distribution of comments within the analysed dataset.

      Comment percentages do not represent the percentage of Nallur’s total population or visitors.

      Discussion volume does not represent actual visitor numbers or festival attendance.

      Method

      • The dashboard analyses the complete combined records.
      • All statistics are calculated from data/comments.csv.
      • Topic frequencies represent discussion volume.
      • Blank engagement values remain missing and are not treated as zero.
      • Charts and findings are recalculated when filters change.

      Responsible use

      Limitations and sources

      • The combined records come from a limited dataset.
      • Not all comments are directly related to Nallur.
      • Social-media discussion may not represent the entire population.
      • Sentiment coding can simplify complex opinions.
      • Relative comment dates may not be exact.
      • Discussion volume does not measure visitors or physical pedestrian movement.
      • English-oriented word analysis may not fully process Tamil comments.
      • Social-media analysis should be combined with field observations and spatial analysis.

      Sources: supplied combined social-media perception dataset; Open-Meteo weather; OpenStreetMap map tiles.