All Projects → lancopku → HSSC

lancopku / HSSC

Licence: other
Code for "A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification" (IJCAI 2018)

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to HSSC

StockerBot
Twitter Bot to follow financial trends in publicly traded companies
Stars: ✭ 77 (+234.78%)
Mutual labels:  sentiment-classification
code summarization public
source code for 'Improving automatic source code summarization via deep reinforcement learning'
Stars: ✭ 71 (+208.7%)
Mutual labels:  summarization
DocSum
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Stars: ✭ 58 (+152.17%)
Mutual labels:  summarization
arabic-sentiment-analysis
Sentiment Analysis in Arabic tweets
Stars: ✭ 64 (+178.26%)
Mutual labels:  sentiment-classification
seq3
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Stars: ✭ 121 (+426.09%)
Mutual labels:  summarization
nlp-akash
Natural Language Processing notes and implementations.
Stars: ✭ 66 (+186.96%)
Mutual labels:  summarization
banglabert
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…
Stars: ✭ 186 (+708.7%)
Mutual labels:  sentiment-classification
bert-movie-reviews-sentiment-classifier
Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model
Stars: ✭ 12 (-47.83%)
Mutual labels:  sentiment-classification
FewSum
Few-shot learning framework for opinion summarization published at EMNLP 2020.
Stars: ✭ 29 (+26.09%)
Mutual labels:  summarization
Dataset-Sentimen-Analisis-Bahasa-Indonesia
Repositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasi…
Stars: ✭ 38 (+65.22%)
Mutual labels:  sentiment-classification
cnn-text-classification
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Stars: ✭ 108 (+369.57%)
Mutual labels:  sentiment-classification
ACAN
Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (+0%)
Mutual labels:  sentiment-classification
Text tone analyzer
Система, анализирующая тональность текстов и высказываний.
Stars: ✭ 15 (-34.78%)
Mutual labels:  sentiment-classification
SelSum
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Stars: ✭ 36 (+56.52%)
Mutual labels:  summarization
COVID-19-Tweet-Classification-using-Roberta-and-Bert-Simple-Transformers
Rank 1 / 216
Stars: ✭ 24 (+4.35%)
Mutual labels:  sentiment-classification
frame
Notetaking Electron app that can answer your questions and makes summaries for you
Stars: ✭ 88 (+282.61%)
Mutual labels:  summarization
HierarchicalAttentionNetworks
Hierarchical Attention Networks for Document Classification in Keras
Stars: ✭ 70 (+204.35%)
Mutual labels:  sentiment-classification
keras-with-google-cloud-ml-engine
Build A Chinese Movie Sentiment Classifier with Keras and Google Cloud ML Engine
Stars: ✭ 16 (-30.43%)
Mutual labels:  sentiment-classification
Deep-learning-And-Paper
【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等
Stars: ✭ 62 (+169.57%)
Mutual labels:  sentiment-classification
verseagility
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (+0%)
Mutual labels:  summarization

Citation

If you use this code for the research, please cite:

@inproceedings{Ma2018bag,
  title     = {A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification},
  author    = {Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren},
  booktitle = {{IJCAI} 2018},
  year      = {2018}
}
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].