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Author:
Jérôme Picault
License:
LICENSE.md
Summary:
BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM
Latest version:
0.4.19
Required dependencies:
aio-pika
|
apscheduler
|
arxiv
|
bertopic
|
coverage
|
cron-descriptor
|
datamapplot
|
dateparser
|
ddgs
|
dill
|
fastapi
|
feedparser
|
folium
|
gensim
|
geopy
|
google-api-python-client
|
google-auth-oauthlib
|
googlenewsdecoder
|
goose3
|
hdbscan
|
httpx
|
ipython
|
jinja2
|
joblib
|
jsonlines
|
langchain-core
|
langdetect
|
loguru
|
lxml-html-clean
|
markdown
|
newscatcher-sdk
|
newspaper4k
|
nicegui
|
nltk
|
numpy
|
openai
|
openai-agents
|
openpyxl
|
pandas
|
pika
|
plotly
|
plotly-resampler
|
protobuf
|
psutil
|
pydantic
|
pydantic-settings
|
pygooglenews
|
pyjwt
|
pytest
|
pytest-asyncio
|
python-dateutil
|
python-dotenv
|
requests
|
ruff
|
scikit-learn
|
scipy
|
seaborn
|
sentence-transformers
|
sentencepiece
|
sqlalchemy
|
starlette
|
streamlit
|
streamlit-code-editor
|
streamlit-folium
|
supervisor
|
thefuzz
|
tiktoken
|
tldextract
|
toml
|
torch
|
tqdm
|
transformers
|
typer
|
umap-learn
|
urllib3
|
uvicorn
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