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What is Sentiment Analysis and what are the Top Two Tools to Perform it in Python
The amount of data in the form of text the web is producing is growing at an exponential pace. Sentiment Analysis is proven to be an extremely useful tool for today and tomorrow’s businesses.
Definition and General Introduction
Sentiment Analysis, also defined as Opinion Mining, aims to extract information from various forms of text, ranging from microblogging to entire documents. The main goal is to obtain a score indicating whether the fragment expresses a positive, neutral or negative sentiment¹.
Sentiment analysis combines three different research fields: Natural Language Processing (NLP), text mining, and data mining.
Computational linguistics is combined with statistical, machine learning, and deep learning models to form NLP. These technologies, when used together, allow computers to interpret human language in the form of text or speech data and ‘understand’ its full meaning, including the speaker or writer’s purpose and mood.
Text mining, also known as information data mining, is the act of converting unstructured text into a structured format to…
