9 results for “topic:stemming-and-lemmatization”
Jupyter notebooks on Natural Language Processing.
The repository contains all the codes of all practicals of DS (SL-3) lab for the AIDS branch. The codes are according to problem statements given in the syllabus of SPPU. Download code and practice them to score good in your practical exams :)
Sentiment Analysis in python
Using Sentiment Analysis and Machine Learning detecting hate Speech in Tweets . A text classification project that identifies racist or sexist tweets to support safer online communities.
Vision Search Engine is a sophisticated and versatile search engine designed to provide highly accurate and efficient search capabilities. Leveraging a suite of advanced algorithms and techniques, this project is equipped to handle a wide array of search functionalities, ensuring precise and relevant results.
NLP Projects for Data science
This project performs Social Media Sentiment Analysis using NLP techniques including BERT, RoBERTa and a custom Hybrid Model. It classifies social media text into multiple emotion categories, enabling accurate sentiment understanding for real-world opinion .mining applications.
Perform sentiment analysis on the Large Movie Review Dataset using various machine learning algorithms and evaluate their performance.
💬 A hands-on collection of Jupyter notebooks exploring essential Natural Language Processing (NLP) concepts including tokenization, stop words, Bag of Words, TF-IDF, POS tagging, NER, SpaCy pipelines, stemming, lemmatization, and word embeddings with FastText and Gensim.