Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.
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Updated
Mar 16, 2021 - Jupyter Notebook
Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.
Assignment project to analyze review text and build a machine learning model to classify reviews to 5 classes of ratings. CNN-LSTM model is developed with Word2Vec Embeddings to classify the text.
Text Classification Engine for Sensor Fusion
scraping bbc news with scrapy, cleanse and store them to public MongoDB database and provide public APIs with AWS, including text-classification example with machine-learning algorithm to predict tag text from BBC news article text.
Sentiment analysis using tensorflow on amazon review dataset
Accurately identify written English, French or Italian text with up to 99% accuracy.
TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.
My ML and DL repo
textCNN for long-text classification 文本分类
Parse movie scripts for linguistic analysis
Various Repositories Containing Useful Scripts for Automation and Administration Tasks
Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.
My seminar work experimenting with text classification.
Text classification on Marathi News Headlines.
ML classifier application with Tensorflow and Django/Celery
This is the repo that will be used to store the code used for the Intel / IBACs AI technical workshop hosted at the University of Connecticut.
Text classification using supervised machine learning algorithms
Python text-to-speach with your own voice
This project shows up the algorithm k-means implemented to cluster documents from the contest PAN CLEF 2O16 where the topics of the documentes are reviews and novels.
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