flair
spacy-models
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| flair | spacy-models | |
|---|---|---|
| 9 | 3 | |
| 13,538 | 1,501 | |
| 0.8% | 1.3% | |
| 9.4 | 9.2 | |
| 9 days ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
flair
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Artificial Intelligence sentiment analysis of the Harry Potter movies. The greener the edge the happier the conversations, the bigger the edge the more they talk. Made by me.
The code of the module is available there for easy access: https://github.com/flairNLP/flair
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The Spacy NER model for Spanish is terrible
Had the same experience with the german model in spacy (but tbh, the quailty of my textdata was bad). A bert based approach with flair really improved my results. I think there is a spanish pretrained model also available
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German POS Corpus for Commercial use
I had the same problem a couple years ago. I think Flair, form Zalando uses a different Corpus. However, it's not great and I am pretty sure they are infringing the license anyway...
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SpaCy VS Transformers for NER
For NER, if you don't need the full toolkit of spacy, I'd highly recommend checking out Flair. It will likely run faster than transformer-based models (like en_core_web_trf) and it tends to be one of the best performing approaches to NER.
spacy-models
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SpaCy VS Transformers for NER
spaCy vs transformers isn't really a good comparison. You can plug a variety of things into spaCy's NLP pipelines, including Huggingface's transformer models. spaCy 3, in particular, has pre-built models with Huggingface's transformers, like en_core_web_trf.
What are some alternatives?
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
gensim - Topic Modelling for Humans
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.
thinc-apple-ops - 🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
empirist-corpus - A web and social media corpus based on the dataset of the EmpiriST 2015 shared task
NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing