Category: Natural Language Processing
Top 10 Best AI Companies in 2024
In our fast-changing world, new ideas are really important for making progress. One big idea that’s changing things a lot is called artificial intelligence, or AI for short. AI isn’t just something for the future; it’s already making big changes in the world, and it’s doing it with a level of accuracy that used to…
Read More10 Underrated AI Tools That Will Change Your Life and Business
In this blog post, we will explore ten underrated and less-known AI tools that have the potential to revolutionize your life and business. These tools cover a wide range of functionalities, from creating customized QR codes to competitor research, photo editing, podcast note-taking, meal planning, essay writing, video summarization, lead magnet generation, article summarization, and…
Read MoreResNet(Residual Networks) Explained – Deep Learning
In this blog post, we will explore the concept of residual networks in deep learning. Residual networks, also known as ResNets, have revolutionized the field of deep learning by enabling the training of extremely deep neural networks. We will discuss the motivation behind ResNets, their architecture, and how they address the challenges of training deep…
Read More10 Common Data Science Interview Questions and How to Answer Them?
Data science has become a very competitive field and it is important to prepare for data science interviews if you are looking for your dream job. As part of the interview process, you can expect to be asked a number of questions to assess your knowledge, skills and experience in the field. In this blog…
Read MoreTop 5 Natural Language Processing Libraries for Data Scientist
In this blog post we are going to talk about Natural Language Processing (NLP) which is one of the branches of machine learning which focuses on teaching machines to understand human language. it has multiple applications, from chatbots to sentiment analysis, and is an important skill in the data scientist’s toolbox. let’s look at five…
Read MoreDay 8: Text Classification with Naïve Bayes
Text Classification is a popular technique used in Natural Language Processing to categorize text documents into predefined categories. Naïve Bayes is a commonly used algorithm for text classification, as it is simple and efficient. In this blog post, we will look at the process of building a Text Classification model using Naïve Bayes, step-by-step. We…
Read MoreDay 7: Building a Sentiment Analysis Model
In today’s world, where social media is the new norm, analyzing the sentiment behind the text has become important for businesses and organizations. Sentiment analysis refers to the process of determining the emotional tone behind a piece of text, whether it is positive, negative, or neutral. In this article, we will discuss how to build…
Read MoreDay 6: Word Embeddings: an overview
Word embeddings are a powerful technique in natural language processing which can help us represent words in a more meaningful way than other approaches like one-hot encoding or bag of words. In this blog post, we’ll provide an overview of what word embeddings are, how they work, their advantages and limitations, popular models for generating…
Read MoreDay 5: Part-of-Speech Tagging and Named Entity Recognition
Welcome back peeps as we have already discussed about the tokenization and stop words in our last article so, in this day 5 of Natural Language Processing (NLP) journey! In this blog we will be exploring two important techniques for analyzing text: Part-of-Speech (POS) tagging Named Entity Recognition (NER) 1 – Part-of-Speech (POS) tagging is…
Read MoreDay 4: Stemming and Lemmatization
Stemming and lemmatization are two popular techniques for text pre-processing in natural language processing (NLP) tasks. In this article, we will discuss what stemming and lemmatization are and provide examples to illustrate their application. Stemming is the process of reducing a word to its root or stem form. For example, the stem of the word…
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