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aspect-based-sentiment-analysis

Aspect-Based Sentiment Analysis Experiments

aspect-extraction

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF Edit

aspect-sentiment-analysis

btm

Code for Biterm Topic Model (published in WWW 2013)

cerberus

A few simple, but solid patterns for responsive HTML email templates and newsletters. Even in Outlook and Gmail.

complaints-and-praises

Linguistic Understanding of Complaints and Praises in User Reviews. Paper talking about going beyond positive and negative sentiment categories. Complaints and Praise have properties that are different from positives and negatives

concept-parser

concept parser

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

feature_learning

feature weight learning based off similarity based clustering

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

iarm

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis, EMNLP 2018

machine-learning-systems-design

A booklet on machine learning systems design with exercises

memnet_absa

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

ocropy

Python-based tools for document analysis and OCR

opinosis

Opinosis - Graph Based Summarization Framework. This repo contains Opinosis Demo Software & Dataset

page_dewarp

Text page dewarping using a "cubic sheet" model

phrase-at-scale

Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English

predictionio

PredictionIO, a machine learning server for developers and ML engineers.

pygcn

Graph Convolutional Networks in PyTorch

python-elm

Extreme Learning Machine implementation in Python

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stanza

Stanford NLP group's shared Python tools.

transfer-learning-conv-ai

🦄 State-of-the-Art Conversational AI with Transfer Learning

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

unproject_text

Perspective recovery of text using transformed ellipses