Text Classification is a technique using which we organize or group text with some labels or categories. It is also known as Text Tagging. For example, “I am feeling very happy and energetic today”. According to Sentiment Analysis/ Text Classification, we can classify it as ‘Positive’. We use various Machine Learning algorithms/ Deep Learning techniques along with Natural language Processing (NLP) to organize text data. This article will discuss how a pre-trained Machine Learning model can classify a given text SMS as Spam or Ham. The Text Classification Model is based on the Multinomial Naive Bayes Algorithm. The complete code is written in Python Programming Language.
How To Create Python Flask Application? – Flask is a small framework by most standards- small enough to be called a “microframework,” and small enough that once you become familiar with it, you will likely be able to read and understand all of its source code. But being small does not mean that it does less than other frameworks. Flask was designed as an extensible framework from the ground up; it provides a solid core with the basic services, while extensions provide the rest. Because you can pick and
choose the extension packages that you want, you end up with a lean stack that has no bloat and does exactly what you need.