Text Summarization
Text summarization basically converts a larger data like a text documents to the most concise shorter version while retaining the important essential information. This technique helps us to easily and quickly grasp the required main points of larger texts, resulting in efficient information retrieval and management of the large content. Text Summarizatin is also called as Automated Summarization that basically condenses the text data while preserving its details.
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.