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Library : BERTopic
Leverage BERT embeddings and a class-based TF-IDF
Dynamic topic modeling was performed to analyze the evolution of topics overtime
The text was classified into 396 different topics after outlier reduction
Certain topics are clustered together, indicating the similarity between topics
Circle indicates the topic and its size is the frequency of topic across all the documents
The different topic remain the same , but the representation of topic differs at different time
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