Updates 29-Apr-2018 – Fixed import in extension code (Thanks Ruben) spaCy is a relatively new framework in the Python Natural Language Processing environment but it quickly gains ground and will most likely become the de facto library. There are some really good reasons for its popularity:
The most direct definition of the task is: “Does a text express a positive or negative sentiment?”. Usually, we assign a polarity value to a text. This value is usually in the [-1, 1] interval, 1 being very positive, -1 very negative.
Stackoverflow is full of questions about why stemmers and lemmatizers don’t work as expected. The root cause of the confusion is that their role is often misunderstood. Here’s a comparison:
