Twitter Sentiment Analysis

E-Commerce Comment Classification with Logistic Regression and LDA model

A flexible sentiment analysis classifier package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames.

Sentiment analysis on emotions dataset

🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 88.15% accuracy! 🚀

Classic NLP Viterbi model for sentiment prediction task implemented with MIRA and SWVM algorithms

🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 91.22% accuracy! 🚀

Aspect based sentiment analysis is the determination of sentiment orientation of different textual review or post based on the aspect terms associated with that review or post. After pre-processing the data, classification report is obtained for multiple ML and Neural Network Models on training data-set and the best among them is then used for c…

Sentiment detection model using many-to-one LSTMs on airline text reviews and generate contextually relevant text by training on "Alice's Adventures in Wonderland".

🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 86.80% accuracy! 🚀

🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 91.51% accuracy! 🚀