Rule-Based Sentiment Analysis in Python
This article was published as a part of the Data Science Blogathon
Intro:
According to experts, 80% of the world’s existing data is in the form of unstructured data(images, videos, text, etc). This data could be generated by Social media tweets/posts, call transcripts, survey or interview reviews, text across blogs, forums, news, etc.
It is humanly impossible to read all the text across the web and find patterns. Yet, there is definitely a need for the business to analyze this data for better actions.
One such process of drawing insights from textual data is Sentiment Analysis. To obtain the data for sentiment analysis, one can directly scrape the content from the web pages using different web scraping techniques.
If you are new to web scraping, feel free to check out my article “