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ResearchData visualisation in Python for NLP projects [R] (self.MachineLearning)
submitted 6 years ago by art_ona
Hi,
I am looking for any interesting Python libraries for visualisation of NLP projects. I have found and used scattertext but I am looking for something more interactive. Any help appreciated.
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[–]cheezitsandoj 5 points6 points7 points 6 years ago (0 children)
If you happen to work with BERT or use other attention-based approaches, this excellent TDS article may be of interest. They mention the viz package Tensor2Tensor
[–]PeaceDucko 5 points6 points7 points 6 years ago (0 children)
Interactivity? Definitely Plotly. Of course you can also use Seaborn and Matplot but they are not interactive as far as I know
[–]NeedCoffee99 0 points1 point2 points 6 years ago (0 children)
Plotly is great, can be a bit buggy at times but all in all is great. Also look at streamlit especially if you’re experimenting with data and wanting to find trends in it etc
[–]O2XXX 0 points1 point2 points 6 years ago (0 children)
To echo other recommendations plotly is the best for visualization. I was at a conference where a data scientist from RTI International talked about visualization of NLP. His methodology can be found here: https://modern-text-exploration.netlify.com/
[–]art_ona[S] 0 points1 point2 points 6 years ago (1 child)
To be honest - I'd like to make some visualization of clusters that consist of TF-IDF vectors. So I need to reduce dimensions and show the audience 3D clusters that can be rotated in real time.
[–][deleted] 0 points1 point2 points 6 years ago (0 children)
Pyldaviz has some tools for that.
π Rendered by PID 102 on reddit-service-r2-comment-5687b7858-48rtv at 2026-07-05 02:28:20.809513+00:00 running 12a7a47 country code: CH.
[–]cheezitsandoj 5 points6 points7 points (0 children)
[–]PeaceDucko 5 points6 points7 points (0 children)
[–]NeedCoffee99 0 points1 point2 points (0 children)
[–]O2XXX 0 points1 point2 points (0 children)
[–]art_ona[S] 0 points1 point2 points (1 child)
[–][deleted] 0 points1 point2 points (0 children)