Parts of Speech Tag and Dependency Grammer

Objective Parts of speech tagging and dependency parsing are widely used techniques in text processing. Understand parts of speech tags and grammars with their respective use cases in Natural language processing Introduction Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is a widely available problem domain for NLP tasks. In order to work with text data, it is important to transform the raw text into a form that can […]

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Tokenization and Text Normalization

Objective Text data is a type of unstructured data used in natural language processing. Understand how to preprocess the text data before feeding it to the machine learning algorithms. Introduction Text data is a form of unstructured data. The most prominent examples of text data available on the internet are social media data like tweets, posts, comments, or the Conversation data such as messages, emails, Chats. Also, it can be article data like news articles, blogs, etc. Note: If you […]

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Basics of Natural Language Processing(NLP) for Absolute Beginners

Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as we speak, as we tweet, as we send messages on WhatsApp and in various other activities. The majority of this data exists in the textual form, which is highly unstructured in nature.  Despite having high dimension data, the information present in it is not directly accessible unless it is processed (read and understood) manually or analyzed by an […]

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11 Superb Data Science Videos Every Data Scientist Must Watch

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural Language Processing (NLP), Generative Models, and Reinforcement Learning Learn how the concepts in these videos work and build your own data science project!   Introduction I love learning and understanding data science concepts through videos. I simply do not have the time to pour through books and pages of text to understand different ideas and topics. […]

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