The constant growth of data on the Internet creates a demand for tools that process textual information.
Moreover, it's highly important that this instrument of text analysis could implement solutions for both low and high-level NLP tasks such as counting word frequencies, calculating sentiment analysis of the texts or
State-of-the-art technologies in NLP allow us to analyze natural languages on different layers: from simple segmentation of textual information to more sophisticated methods of sentiment categorizations.
However, it does not inevitably mean that you should be highly advanced in programming to implement high-level tasks such as sentiment analysis in
The amount of textual data on the Internet has significantly increased in the past decades. There's no doubt that the processing of this amount of information must be automated, and the TextBlob package is one of the fairly simple ways to perform NLP - Natural Language Processing.
It provides
