Introduction Sentiment analysis—also known as opinion mining—is a powerful natural language processing (NLP) technique used to determine whether a piece […]
Ethical Considerations in Sentiment Analysis: Addressing Bias, Privacy, and Accuracy Read Post »
Sentiment analysis (or opinion mining) is an AI technique that uses natural language processing (NLP) to classify text by emotional
Sentiment analysis is the process of determining whether a piece of text—like a customer review—is positive, negative, or neutral. Visualizing
Visualizing Sentiment Trends: Dashboards with Plotly and Streamlit Read Post »
If you’ve built a sentiment analysis model that accurately classifies positive or negative text, congratulations — you’re halfway to creating
Deploying Your Sentiment Analyzer with Flask: Turn Your Model into an App Read Post »
Whether you’re a data scientist fine-tuning your latest NLP model, a product manager assessing performance, or a beginner learning about
Evaluating Your Sentiment Analyzer: Metrics That Matter Read Post »
Introduction Sentiment analysis is the task of classifying text (such as reviews or tweets) as conveying positive or negative opinion.
Fine-Tuning BERT for Sentiment Analysis: A Deep Learning Approach Read Post »
Ever wondered how apps and websites figure out if a review or comment is positive or negative? That’s sentiment analysis
Building a Sentiment Classifier with Scikit-Learn: A Beginner-Friendly Tutorial Read Post »
Introduction Ever read an online review that said, “Ughhh… this product is the WORST 😡!!!”? That’s the kind of text
Preprocessing Text for Sentiment Analysis: From Raw Reviews to Usable Data Read Post »
Confused between classical ML and deep learning for sentiment analysis? This guide compares Naive Bayes, SVM, LSTM, and BERT to
Choosing the Right Model for Sentiment Analysis: Naive Bayes vs SVM vs LSTM vs BERT Read Post »
Sentiment analysis data collection Collecting sentiment analysis data means gathering lots of real user reviews. Reviews are great because they’re
