prrao87 / fine-grained-sentimentLinks
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
☆170Updated 2 months ago
Alternatives and similar repositories for fine-grained-sentiment
Users that are interested in fine-grained-sentiment are comparing it to the libraries listed below
Sorting:
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆123Updated 5 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆100Updated 10 months ago
- Applying NLP transfer learning techniques to predict Tweet stance toward a topic☆106Updated 6 years ago
- Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and othe…☆114Updated 5 years ago
- Steam review texting embedding analysis☆142Updated 2 years ago
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆229Updated 2 years ago
- code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment…☆188Updated last year
- Deep Keyphrase Extraction using BERT☆259Updated 3 years ago
- WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets☆30Updated 11 months ago
- Python code for various NLP metrics☆167Updated 5 years ago
- Document ranking via sentence modeling using BERT☆144Updated 2 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago
- ☆209Updated 4 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆82Updated 2 years ago
- an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.☆218Updated 4 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆361Updated 3 years ago
- This repo contains code to detect sarcasm from text in discussion forum using deep learning☆86Updated 2 years ago
- BERT fine-tuning for POS tagging task (Keras)☆79Updated 6 years ago
- Accompanying code for the Medium article☆164Updated 5 years ago
- DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.☆109Updated 2 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆108Updated 2 years ago
- A Survey and Experiments on Annotated Corpora for Emotion Classification in Text☆234Updated 2 years ago
- Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632☆266Updated 4 years ago
- Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.☆85Updated 3 years ago
- ☆83Updated 4 years ago
- Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…☆309Updated 5 years ago