How-to do Sentiment Analysis with Flair in Python
Learn how to perform powerful sentiment analysis with no fine-tuning or pre-training required using the Flair NLP library in Python.

With the real-time information available to us on massive social media platforms like Twitter, we have all the data we could ever need to create these accurate and up-to-date sentiment metrics for different companies.

But then comes the question, how can our computer understand what this unstructured text data means?

That is where sentiment analysis comes in. Sentiment analysis is a particularly interesting branch of Natural Language Processing (NLP), which is used to rate the language used in a body of text.

Through sentiment analysis, we can take thousands of tweets about a company and judge whether they are generally positive or negative (the sentiment) in real-time!

🤖 70% Discount on the NLP With Transformers in Python course:
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Medium article:
https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178

(Free link if you don't have Medium membership):
https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178?sk=1cbf33a5d1fd2ed841f9487972c1cbed

Thumbnail photo by Alexander London on Unsplash
https://unsplash.com/@alxndr_london