pytorch-sentiment-analysis
spark-nlp
| pytorch-sentiment-analysis | spark-nlp | |
|---|---|---|
| 2 | 87 | |
| 4,225 | 3,695 | |
| - | 1.2% | |
| 4.0 | 9.3 | |
| about 1 month ago | 8 days ago | |
| Jupyter Notebook | Scala | |
| MIT License | Apache License 2.0 |
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pytorch-sentiment-analysis
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Ich habe einen Bot gebastelt für Ovalwichs
z.B. https://github.com/bentrevett/pytorch-sentiment-analysis
- German language sentiment classification - NLP Deep Learning
spark-nlp
- Spark NLP 5.1.0: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!
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PySpark for NLP Workshop - Materials and Jupyter Notebooks
I recently had the opportunity to run a workshop at ODSC East, focusing on using PySpark for Natural Language Processing (NLP). Had a great time explaining PySpark's fundamentals and exploring the Spark NLP library.
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
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Transformers.js
I'd like to use this transformer model in rust (because it's on the backend, because I can use data munging and it will be faster, and for other reasons). It looks like a good model! But, it doesn't compile on Apple Silicon for wierd linking issues that aren't apparent - https://github.com/guillaume-be/rust-bert/issues/338. I've spent a large part of today and yesterday attempting to find out why. The only other library that I've found for doing this kind of thing programmatically (particularly sentiment analysis) is this (https://github.com/JohnSnowLabs/spark-nlp). Some of the models look a little older, which is OK, but it does mean that I'd have to do this in another language.
Does anyone know of any sentiment analysis software that can be tuned (other than VADER - I'm looking for more along the lines of a transformer model) - like BERT, but is pretrained and can be used in Rust or Python? Otherwise I'll probably using spark-nlp and having to spin another process.
Thanks.
- Release John Snow Labs Spark-NLP 4.3.0: New HuBERT for speech recognition, new Swin Transformer for Image Classification, new Zero-shot annotator for Entity Recognition, CamemBERT for question answering, new Databricks and EMR with support for Spark 3.3, 1000+ state-of-the-art models and many more!
What are some alternatives?
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
clj-djl - clojure wrap for deep java library(DJL.ai)
afinn - AFINN sentiment analysis in Python
Tribuo - Tribuo - A Java machine learning library
n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.
libpython-clj - Python bindings for Clojure