Tag Archives: data science

Sentiment Analysis with Python: TFIDF features

In my previous article on ‘Sentiment Analysis with Python: Bag of Words‘, We compared the results of three traditional machine learning sentiment classification algorithms using bag-of-words features(from scratch). This is my second article on sentiment analysis in continuation of that and this time we are going to experiment with TFIDF features for the task of Sentiment Analysis on… Read More »

Sentiment Analysis with Python: Bag of Words

Sentiment Analysis Overview Sentiment Analysis(also known as opinion mining or emotion AI) is a common task in NLP (Natural Language Processing). It involves identifying or quantifying sentiments of a given sentence, paragraph, or document that is filled with textual data. Sentiment Analysis techniques are widely applied to customer feedback data (ie., reviews, survey responses, social media posts). Sentiment Analysis has proved… Read More »

Sampling Techniques in Statistics for Machine Learning

Data is like a fuel to a Data Scientist. Any study or research work requires a good amount of quality data. The term ‘good amount of quality data’ changes with the kind of study one wants to do. Various sampling techniques are there to get you just that. As a researcher, you may want to study-different animals, changing… Read More »

OpenCV: Introduction and Simple Tricks in Python

OpenCV-AI-toolkit was first introduced nearly 20 years ago(in 1999) by Intel Research and it is getting richer and better every year since then. OpenCV was primarily written in C++ language but has bindings for Python, Java, and MATLAB that makes it easy to integrate into different ML/AI projects. You will find almost every Computer Vision(Computer Graphics based) project… Read More »