sheikhazhanmohammed / Credit-Card-Fraud-Detection-using-Machine-Learning-and-Deep-Learning-Techniques
☆9Updated 2 years ago
Alternatives and similar repositories for Credit-Card-Fraud-Detection-using-Machine-Learning-and-Deep-Learning-Techniques:
Users that are interested in Credit-Card-Fraud-Detection-using-Machine-Learning-and-Deep-Learning-Techniques are comparing it to the libraries listed below
- Library of Joint Topic-Sentiment Models☆33Updated 4 years ago
- Text augmentation, deep learning, and aspect-based sentiment analysis.☆14Updated 3 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆30Updated 4 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- Performed Aspect Based Sentiment Analysis using Topic Modeling(LDA) and sentiment analysis and Regression analysis using Python and Spark…☆20Updated 7 years ago
- A repository☆39Updated 5 years ago
- In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food review…☆44Updated 3 years ago
- ☆19Updated 3 years ago
- Using topic models to discover evolution of worldwide health issues☆24Updated 6 years ago
- ☆37Updated 4 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆70Updated 4 years ago
- Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…☆14Updated 2 years ago
- (BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on T…☆71Updated 5 years ago
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 5 years ago
- Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score we…☆12Updated 6 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆93Updated 2 weeks ago
- # Topic modeling with BERT, LDA and Clustering. Latent Dirichlet Allocation(LDA) probabilistic topic assignment and pre-trained sentence …☆53Updated 4 years ago
- Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Cr…☆14Updated 5 years ago
- Aspect-Based Opinion Mining involves extracting aspects or features of an entity and figuring out opinions about those aspects. It's a me…☆22Updated 4 years ago
- In this project, I am trying to track the spread of disinformation. This repo is for the ML part of the project and where it tries to cla…☆23Updated 3 years ago
- This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Act…☆56Updated 5 years ago
- A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media☆43Updated 3 years ago
- ☆14Updated 6 years ago
- Using NLP and LDA for Topic Modeling and Sentiment Analysis☆43Updated 4 years ago
- Set of notebooks to practice Pytorch from basics to RNN☆26Updated 4 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆21Updated 4 years ago
- A notebook to understand the concept of Information Extraction using NLP techniques in Python.☆43Updated 3 years ago
- Detection of MBTI-type personality with NLP and Deep Learning☆10Updated 4 years ago
- Twitter tweets play an important role in every organisation. This project is based on analysing the English tweets and categorizing the t…☆15Updated 4 years ago
- NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.☆13Updated 5 years ago