2139 Open source projects that are alternatives of or similar to Datastories Semeval2017 Task4

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Sentiment Analysis: Deep Bi-LSTM+attention model

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

📚 Text classification library with Keras

Attention-based multimodal fusion for sentiment analysis

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

A fast, efficient universal vector embedding utility package.

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Keras Implementation of Aspect based Sentiment Analysis

Sarcasm Detection for Sentiment Analysis

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Context-Dependent Sentiment Analysis in User-Generated Videos

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

🍊 📄 Text Mining add-on for Orange3

CNN, LSTM, NBOW, fasttext 中文文本分类

document classification using LSTM + self attention

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Your Advanced Twitter stalking tool

Sarcasm detection on tweets using neural network

A Tensorfflow implementation of Attend, Infer, Repeat

📓 Long(er) text representation and classification using Doc2Vec embeddings

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

R wrapper for fastText

All my experiments with AI and ML

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Machine learning, in numpy

attention-based LSTM/Dense implemented by Keras

BertQA - Attention on Steroids

Search for tweets and download the data labeled with its polarity in CSV format

Speaker independent emotion recognition

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

My Attempt(s) In The World Of ML/DL....

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Models for predicting emotions from English tweets.

Word Embedding + LSTM + FC

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

ConText v4: Neural networks for text categorization

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

dna2vec: Consistent vector representations of variable-length k-mers

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

FastText for Node.js

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.