Twitter dataset collection (Budget is not set yet)
Budget: $10 – $30 USD
I am looking for a freelancer to collect a Twitter dataset for me. Please contact me with your budget. Here are the project requirements:
Specific information to collect:
- Tweets
Geographic region or language focus:
- Yes, the language should be english
Date range for the dataset:
- Last 6 months or one year
Ideal skills and experience:
- Proficiency in Twitter data collection and analysis
- Familiarity with data scraping tools and techniques
- Strong understanding of language and geographic filters
- Ability to efficiently handle large datasets
- Experience in cleaning and organizing data for analysis
(MAy be looking for something similar TweetAEMiner collects tweets continuously using Twitter’s API (application programming interface) with predetermined words (diseases or drugs). These tweets are stored in the database. The system periodically initiates the tweets’ processing and analysis. The system is currently configured for processing and analysis on Sundays, when a new week begins on the epidemiological calendar 25, but this periodicity can be altered easily if necessary. The tweets are processed with a natural language processor (NLP), and the data output from this processing is submitted to statistical analysis. Finally, the results are assessed against a reference standard.
The system generates a list of specific signals that are assessed against a reference standard. One signal corresponds to a “drug-AE” association identified by the pipeline. data extraction, processing, analysis, and assessment. )
Specific information to collect:
- Tweets
Geographic region or language focus:
- Yes, the language should be english
Date range for the dataset:
- Last 6 months or one year
Ideal skills and experience:
- Proficiency in Twitter data collection and analysis
- Familiarity with data scraping tools and techniques
- Strong understanding of language and geographic filters
- Ability to efficiently handle large datasets
- Experience in cleaning and organizing data for analysis
(MAy be looking for something similar TweetAEMiner collects tweets continuously using Twitter’s API (application programming interface) with predetermined words (diseases or drugs). These tweets are stored in the database. The system periodically initiates the tweets’ processing and analysis. The system is currently configured for processing and analysis on Sundays, when a new week begins on the epidemiological calendar 25, but this periodicity can be altered easily if necessary. The tweets are processed with a natural language processor (NLP), and the data output from this processing is submitted to statistical analysis. Finally, the results are assessed against a reference standard.
The system generates a list of specific signals that are assessed against a reference standard. One signal corresponds to a “drug-AE” association identified by the pipeline. data extraction, processing, analysis, and assessment. )