The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Rec…

The project about transfer learning.

Code and data for inducing domain-specific sentiment lexicons.

calculate word similarities based on corpus

Python script for basic corpus analysis with cosine similarity

Text Similarity measures, classified in string, token, knowledge, corpus, combined distances.

A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.

Text similarity between two corpora.

Measure the similarity of text corpora for 74 languages

Unsupervised cross-domain sentiment analysis

The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pivot Based Language Modeling for Improved Neural Domain Adapt…

Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews

PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

python 3 pytorch implementation of DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Spectral Feature Alignment

Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)

Code for Learning to select data for transfer learning with Bayesian Optimization

Domain-Adversarial Neural Network in Tensorflow

How to extract sentiment from opinions without any labels

Unsupervised Domain Adaptation Papers and Code

Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.