How do you categorize newspaper articles?
Text classification process involves following main steps for classification of news article. These steps are data collection, pre-processing, feature selection, classification techniques application, and evaluating performance measures. The first step of news classification is accumulating news from various sources.
What is the basis classification of news?
Text classification classifies text documents on the basis of words, phrases, combination of words etc. into predefined class labels. Method/Analysis: Present study classifies news data into four predefined classes namely Business, Entertainment, sports and Technology.
How do you classify text data in Python?
Following are the steps required to create a text classification model in Python:
- Importing Libraries.
- Importing The dataset.
- Text Preprocessing.
- Converting Text to Numbers.
- Training and Test Sets.
- Training Text Classification Model and Predicting Sentiment.
- Evaluating The Model.
- Saving and Loading the Model.
What are news categories?
Categories and News Departments
- Business.
- Cars.
- Entertainment.
- Family.
- Health.
- Politics.
- Religion.
- Science.
What are the three categories of classification text?
There are many approaches to automatic text classification, but they all fall under three types of systems: Rule-based systems. Machine learning-based systems.
Can we use CNN for text classification?
Text Classification Using Convolutional Neural Network (CNN) : like “I hate”, “very good” and therefore CNNs can identify them in the sentence regardless of their position.
What are the different types of news articles?
There are several different types of newspaper articles:
- News Reports – these are found at the front of a newspaper.
- Feature articles – these explore the issues raised by news stories in more depth.
- Editorials, columns and opinion pieces – these are pieces by ‘personality’ writers, often celebrities in other fields.