Word embeddings are numerical representations of words that capture their meaning, usage, and context. They are useful for many natural language processing tasks, such as text classification, sentiment analysis, machine translation, and question answering. But how can we learn word embeddings from a large corpus of text? One popular technique…

Latent Dirichlet Allocation is a generative probability model, which means it provide distribution of outputs and inputs based on latent variables. In this post, I will give a complete picture to build best LDA model. I will cover below topics: What is Topic Modeling? Where Topic Modeling stands in Macine Learning Spectrum? Applications of Topic Modeling Different Algorithms and techniques of Topic Modeling

Sometimes we want to find out the main words or phrases from a text. This can help us to search for information better. This is called keyword extraction or entity extraction. It is a part of natural language processing, which is a field of computer science. There are many ways…

Finding words that are similar is very important for cleaning or analysing text. Suppose your text has many spelling mistakes for proper nouns like names, places etc. and you want to make all similar names or places in a standard form. You can use Soundex algorithm to find similarity between…

Stemming and Lemmatization is very important and basic technique for any Project of Natural Language Processing. You have noticed that if you type something on google search it will show relevant results not only for the exact expression you typed but also for the other possible forms of the words…

PageRank (PR) is an algorithm that Google uses to rank web pages based on the links pointing to them. It was developed by Google’s founders, Larry Page and Sergey Brin, at Stanford University in 1996. How Page Rank Works

This article is mouse click event OpenCV tutorial, we will use python to get coordinates of mouse click on image. Then using those coordinates we will draw rectangle on image with mouse OpenCV. After that, we will crop that area of interest from that image. In this way, we will check the mouse click event of the image and use this mouse click event OpenCV. To do that we need to follow below steps:

In this tutorial, I will show you image warping in OpenCV. Perspective view warping is to convert or perspective correction of images from angle to birds eye view transform. To convert image to birds eye view I will be using warp perspective OpenCV function. Convert image to birds eye view