![octoparse pass parameters octoparse pass parameters](https://www.octoparse.com/media/3833/lm-workflow.png)
Then we use two opinion word lists to analyze the scraped tweets. Sentiment Analysis using Python Before getting started, make sure you have Python and a text editor installed on your computer. After getting the tweets, export the data as a text file, name the file as “data.txt”. You can scrape as many tweets as possible. Just as simple as it seemed, I got about 10k tweets. Numbers of comments, retweets, and likesĮnter “Donald Trump” at the Parameter field to tell the crawler the keyword.After you log in, open the built-in Twitter template. Downloaded the newest version from official websites and finished registration by following the instructions. Let’s start with scraping using Octoparse.
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OR/AND IF You know Python but don’t know how to use it for sentiment analysis.IF you don’t know how to scrape contents/comments on social media.And finally, we visualized the data using Tableau public. Then we conduct a sentiment analysis using python and find out public voice about the President. The goal of this workshop is to use a web scraping tool to read and scrape tweets about Donald Trump with a web crawler. His descriptive words are either highly positive or negative, which are some perfect material for web scraping and sentiment analysis. People’s attitude towards him is dramatic and bilateral. His name occupies most newspapers and social media all the time. However, he has this charismatic sensation effect. This is a use case of web scraping twitter for sentiment analysis.