Twitter Sentiment Analysis Data Scraping

Job ID: 39168230

Budget: $30 – $100 USD

I'm seeking an experienced data scraper to collect sentiment data from a selection of Twitter (X) accounts between June 2022 and September 2023. The focus will be on identifying positive, negative and neutral keywords, as well as potentially capturing geographic data.

Key Requirements:
- Scrape data from a dozen specific Twitter sites
- Identify and categorize sentiments for each keyword
- Deliver the data in a CSV format

Ideal Skills:
- Proficient in data scraping tools and techniques
- Familiar with sentiment analysis
- Good understanding of Twitter's (X) platform

The end goal is to have a comprehensive dataset that captures the sentiment around specific keywords over the specified period.