healthsea VS spacy-models

Compare healthsea vs spacy-models and see what are their differences.

healthsea

Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health. (by explosion)
Machine Learning Natural Language Processing Pipeline text-classification spacy Healthcare named-entity-recognition
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spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library (by explosion)
spacy NLP Natural Language Processing Machine Learning Models machine-learning-models statistical-models spacy-models
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spacy.io
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healthsea spacy-models
1 3
84 1,508
- 0.9%
3.2 9.2
over 2 years ago 5 months ago
Python Python
MIT License -
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healthsea

Posts with mentions or reviews of healthsea. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

spacy-models

Posts with mentions or reviews of spacy-models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-11.
  • spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)
    1 project | /r/codehunter | 2 May 2022
    (C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>conda install -c conda-forge spacyFetching package metadata .............Solving package specifications: .Package plan for installation in environment C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder:The following NEW packages will be INSTALLED: blas: 1.0-mkl cymem: 1.31.2-py35h6538335_0 conda-forge dill: 0.2.8.2-py35_0 conda-forge msgpack-numpy: 0.4.4.2-py_0 conda-forge murmurhash: 0.28.0-py35h6538335_1000 conda-forge plac: 0.9.6-py_1 conda-forge preshed: 1.0.0-py35h6538335_0 conda-forge pyreadline: 2.1-py35_1000 conda-forge regex: 2017.11.09-py35_0 conda-forge spacy: 2.0.12-py35h830ac7b_0 conda-forge termcolor: 1.1.0-py_2 conda-forge thinc: 6.10.3-py35h830ac7b_2 conda-forge tqdm: 4.29.1-py_0 conda-forge ujson: 1.35-py35hfa6e2cd_1001 conda-forgeThe following packages will be UPDATED: msgpack-python: 0.4.8-py35_0 --> 0.5.6-py35he980bc4_3 conda-forgeThe following packages will be DOWNGRADED: freetype: 2.7-vc14_2 conda-forge --> 2.5.5-vc14_2Proceed ([y]/n)? yblas-1.0-mkl.t 100% |###############################| Time: 0:00:00 0.00 B/scymem-1.31.2-p 100% |###############################| Time: 0:00:00 1.65 MB/smsgpack-python 100% |###############################| Time: 0:00:00 5.37 MB/smurmurhash-0.2 100% |###############################| Time: 0:00:00 1.49 MB/splac-0.9.6-py_ 100% |###############################| Time: 0:00:00 0.00 B/spyreadline-2.1 100% |###############################| Time: 0:00:00 4.62 MB/sregex-2017.11. 100% |###############################| Time: 0:00:00 3.31 MB/stermcolor-1.1. 100% |###############################| Time: 0:00:00 187.81 kB/stqdm-4.29.1-py 100% |###############################| Time: 0:00:00 2.51 MB/sujson-1.35-py3 100% |###############################| Time: 0:00:00 1.66 MB/sdill-0.2.8.2-p 100% |###############################| Time: 0:00:00 4.34 MB/smsgpack-numpy- 100% |###############################| Time: 0:00:00 0.00 B/spreshed-1.0.0- 100% |###############################| Time: 0:00:00 0.00 B/sthinc-6.10.3-p 100% |###############################| Time: 0:00:00 5.49 MB/sspacy-2.0.12-p 100% |###############################| Time: 0:00:10 7.42 MB/s(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -VPython 3.5.3 :: Anaconda custom (64-bit)(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -m spacy download enCollecting en_core_web_sm==2.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz#egg=en\_core\_web\_sm==2.0.0 Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB) 100% |################################| 37.4MB ...Installing collected packages: en-core-web-sm Running setup.py install for en-core-web-sm ... doneSuccessfully installed en-core-web-sm-2.0.0 Linking successful C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\en_core_web_sm --> C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\data\en You can now load the model via spacy.load('en')(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>
  • word similarity vs. sentence similarity
    1 project | /r/LanguageTechnology | 25 Aug 2021
    Well the medium model is using Glove (common crawl) for word vectors. There are only 685K keys so depending on the corpus you are working with, its possible lots of the words you are interested in don't have a corresponding vector and end up as zero vectors. Spacy Document/Span vectors are simply averages of the word vectors. So the higher performance of phrases may simply be because there is a higher chance of non Out of Vocabulary (OOV) words. So less chance of a zero vector.
  • SpaCy VS Transformers for NER
    2 projects | /r/LanguageTechnology | 11 Mar 2021
    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?

When comparing healthsea and spacy-models you can also consider the following projects:

HanLP - 中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

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

imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.

zshot - Zero and Few shot named entity & relationships recognition

thinc-apple-ops - 🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

Dragonfire - the open-source virtual assistant for Ubuntu based Linux distributions

healthsea vs HanLP spacy-models vs flair healthsea vs spacy-llm spacy-models vs rasa healthsea vs imbalanced-regression spacy-models vs MAX-Toxic-Comment-Classifier healthsea vs zshot spacy-models vs thinc-apple-ops healthsea vs thinc spacy-models vs pytextrank healthsea vs argilla spacy-models vs Dragonfire