MedCAT VS embedders

Compare MedCAT vs embedders and see what are their differences.

embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification. (by code-kern-ai)
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MedCAT embedders
1 1
411 21
1.9% -
8.5 5.9
3 days ago 9 months ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

MedCAT

Posts with mentions or reviews of MedCAT. We have used some of these posts to build our list of alternatives and similar projects.

embedders

Posts with mentions or reviews of embedders. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MedCAT and embedders you can also consider the following projects:

targetedSummarization - TextReducer - A Tool for Summarization and Information Extraction

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

name-dataset - The Python library for names.

zshot - Zero and Few shot named entity & relationships recognition