Topic Modeling
Topic Modeling comes under unsupervised Natural Language Processing (NLP) technique that basically makes use Artificial Intelligence (AI) programs to tag and classify text clusters that have topics in common. The purpose. of Topic Modeling is to represent each document of the dataset as the combination of different topics, which will makes us gain better insights into the main themes present in the text corpus.
Natural Language Processing (NLP): 7 Key Techniques
Natural Language Processing (NLP) is a subfield in Deep Learning that makes machines or computers learn, interpret, manipulate and comprehend the natural human language. Natural human language comes under the unstructured data category, such as text and voice. Generally, computers can understand the structured form of data, such as tables and spreadsheets in the database, since the human language, like text and voice, comes under the category of unstructured data, and since computers can’t understand the unstructured textual or voice data, NLP comes into action.
In this article, we will explore about 7 Natural Language Processing Techniques that form the backbone of numerous applications across various domains.