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github.com/JackHCC/Chinese-Keyphrase-Extraction @main

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84 symbols 246 edges 10 files 27 documented · 32%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

set_graph_edges
called by 4
utils.py
get_tokenized_words_embeddings
called by 4
model/SIF_rank/Embedding.py
data_word_cut
called by 3
process.py
get_oov_weight
called by 3
model/SIF_rank/Embedding.py
get_first_window
called by 2
utils.py
set_graph_edge
called by 2
utils.py
save_pickle
called by 2
utils.py
get_vector
called by 2
lda.py

Shape

Function 69
Method 10
Class 4
Route 1

Languages

Python100%

Modules by API surface

model/SIF_rank/Embedding.py17 symbols
utils.py14 symbols
model/SIF_rank/sif_rank.py13 symbols
ranks.py12 symbols
distribution_statistics.py7 symbols
model/embed_rank.py6 symbols
lda.py6 symbols
main.py4 symbols
model/embed_rank_train.py3 symbols
process.py2 symbols

For agents

$ claude mcp add Chinese-Keyphrase-Extraction \
  -- python -m otcore.mcp_server <graph>

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