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author | Maarten Grootendorst <maarten_grootendorst@hotmail.com> | 2020-11-03 09:04:12 +0300 |
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committer | GitHub <noreply@github.com> | 2020-11-03 09:04:12 +0300 |
commit | 43fed7547b8ff121ab738205a13da20be761c444 (patch) | |
tree | 8f46919842ab6a585ed3baf4b9803effe2152efb | |
parent | 8cbf997582ad84981fdebdc1d23b28e8d621bd7c (diff) |
Update README.md
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -10,7 +10,7 @@ KeyBERT is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings to create keywords and keyphrases that are most similar to a document. -Corresponding medium post can be found [here](). +Corresponding medium post can be found [here](https://towardsdatascience.com/keyword-extraction-with-bert-724efca412ea). <a name="toc"/></a> ## Table of Contents |