Named Entity recognition and emotion mining on Apple Macbook reviews.
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Updated
Sep 5, 2022 - Jupyter Notebook
Named Entity recognition and emotion mining on Apple Macbook reviews.
This was a hackathon project that I worked on for BestBuy around classifying the call transcripts using ML & NLP techniques
This repository contains a function that removes stop words based on SnowBall algorithm.
K-means clustering of texts (survey answers) using word-embeddings, finding optimal elbow-point, and averaging multiple-word expressions.
Finding Similar Pairs using PySpark
Preprocessing-Hidden-Markov-Model
Basics of Natural Language Processing
The objective was designing and developing Boolean Information Retrieval System. This includes: Stopword Removal, Stemming, Wildcard Query Handling, Spelling Correction
Stopword Analysis on Text Mining - With dataset from Kaggle: https://www.kaggle.com/nltkdata/web-text-corpus
This project aims to build a binary classifier for detection of spam and ham(not spam) Emails.
An assignment on preprocessing of text including tokenization, stop word removal
Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Nucleic Acids Research Data Discovery
Python package that makes it easy to use stop words lists in Python projects.
Natural language processing for Tamazight language
50 public profile PDFs from LinkedIn , converting to text then finding most frequent and essential words
Work with a set of Tweets about US airlines and examine their sentiment polarity.The aim is to learn to classify Tweets as either “positive”, “neutral”, or “negative” by using two classifiers and pipelines for pre-processing and model building.
This is project is based on the text classification using NLP .
Basic text preprocessing pipeline, which includes tokenization, stemming, and stopword removal
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