![]() ![]() Let’s see what the typical steps required to process any text corpus and extract essential features are. And when it comes to unstructured data like text, this process is even more critical. Cleaning or preprocessing the data is as critical as model building in any machine learning task. Hence, it is undoubtedly the most significant part of any data science or AI project. Text Preprocessing in NLP is what we call data-preprocessing in traditional Machine Learning. Always remember, the theory is essential, but practical is an experience! Hence, a balance between theory and hands-on is crucial for accomplishing an objective!ġ. To start Natural Language Processing in the right way, every beginner should focus on learning and implementing parallelly. So, let’s start your NLP Journey today! Section 1- NLP Resources for Absolute Beginners ![]() This article will be divided into three sections. In this article, I will suggest the best free and open-sourced resources from where you can start your journey to become an NLP Expert! To learn any technology, you should first focus on collecting the best resources available and, most notably, the free resources! Learning NLP is an innovative and strategic way that can often be challenging with so many courses and resources on the web. All of these language-specific tasks are done by leveraging Natural Language Processing! It is no rocket science how your grammatical errors are corrected by the Grammarly software, how long sentences you enter are restructured into short and simple ones, how your Gmail predicts which emails in your inbox are harmful and which are essential. KAGGLE COMPETITION SPELLING CORRECTOR HOW TONLP technologies focus on teaching the machines how to interpret the human language and mimic and understand and generate it. ![]() Natural Language Processing is one of the most popular subdomains of Artificial Intelligence. This article was published as a part of the Data Science Blogathon. ![]()
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