The project proposes a framework to apply topic models on a text-corpus and eventually topic labels on the generated topics.
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Updated
May 14, 2024 - Jupyter Notebook
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topic-labeling
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Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/
nlp
machine-learning
natural-language-processing
deep-learning
bart
seq2seq
seq2seq-generation
topic-modelling
topic-labeling
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Updated
May 20, 2021 - Python
A Quotebank data analysis to build a political party classifier based on quotes, explained with a data story. Includes sentiment analysis, grammatical structure/complexity analysis and topic labeling.
quotes
classifier
data-science
sentiment-analysis
wikidata
pandas-dataframe
pandas
nltk
data-analysis
bert
frequency-analysis
textstat
manifesto-project
roberta
datastory
topic-labeling
political-party
grammatical-analysis
political-data-analysis
bertopic
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Updated
Oct 30, 2022 - Jupyter Notebook
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