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Manila Traffic Twitter Chronicle
Social Media and Networking
Tags and Keywords
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Free
About
This dataset provides a collection of public tweets related to traffic in Metro Manila, Philippines. It was compiled by scraping Twitter using the keywords "traffic manila", offering insights into the daily experiences and sentiments of people enduring the urban traffic situation. The dataset serves as a valuable resource for understanding public discourse and patterns concerning traffic congestion in the region.
Columns
- Index: A numerical identifier for each tweet entry.
- Date: The specific date when the tweet was posted.
- Tweet: The full content of the public tweet.
- likeCount: The total number of 'likes' received by the tweet, ranging from 0.00 to 9302.00.
- Label Count: A count of unique values within specific ranges, such as 0.00 - 23779.90 (9,301 entries), 23779.90 - 47559.80 (1 entry), and 214019.10 - 237799.00 (1 entry), totalling 238k unique values.
- DateTime Count: A count of tweets within specific date ranges, for example, 01/01/2022 - 02/05/2022 (279 entries) and 11/17/2022 - 12/22/2022 (2,196 entries), with a total of 9206 unique values.
Distribution
The dataset typically comes as a data file, often in CSV format. It covers tweets posted from January 1, 2022, to December 23, 2022. The data includes various counts for likes and tweet timestamps across this period, reflecting a significant volume of public social media activity related to Manila traffic.
Usage
This dataset is ideal for a range of applications, including:
- Exploratory data analysis of social media content.
- Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling on tweets about traffic.
- Text mining for patterns and trends in urban discussions.
- Research on urban areas and cities, particularly focusing on traffic dynamics and public opinion.
- Analysing social networks and public interactions regarding transport issues.
Coverage
The dataset's geographic scope is focused on Metro Manila, covering public tweets using the keywords "traffic manila". It spans a time range from January 1, 2022, to December 23, 2022. The data reflects the general public's social media activity during this period without specific demographic breakdowns beyond the public nature of the tweets.
License
CC-BY
Who Can Use It
- Data scientists and researchers interested in social media sentiment analysis and urban mobility.
- Urban planners and transportation analysts seeking insights into traffic issues from a public perspective.
- NLP specialists working on text classification, topic extraction, or sentiment analysis on social media data.
- Academics studying online discourse related to city infrastructure and public services.
Dataset Name Suggestions
- Manila Traffic Twitter Chronicle
- Metro Manila Traffic Tweets 2022
- Philippine Traffic Social Media Data
- Urban Traffic Sentiment in Manila
- Tweets on Manila Congestion (2022)
Attributes
Original Data Source: Traffic Tweets in Manila - Jan 2022 - Dec 2022
QUALITY