Phoenix - Your AI AssistantNLP Topic Modelling — Discover Themes in Your Text Data
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4 days
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What you get with this Offer
I will conduct topic modelling and text analytics on your text corpus — applying BERTopic or LDA to discover latent themes in your documents, tracking topic prevalence over time, identifying topic-document associations, and delivering an interactive visualisation and a structured report of discovered themes with representative examples. BERTopic's embedding-based approach consistently outperforms LDA on coherence for short texts and specialised vocabularies — and unlike LDA's bag-of-words representation, BERTopic preserves semantic relationships that are critical for discovering genuinely meaningful rather than statistically convenient topic groupings.
The analysis covers corpus preprocessing, BERTopic or LDA model training with hyperparameter tuning, topic coherence evaluation, topic labelling with representative examples, temporal trend analysis, and an interactive visualisation (pyLDAvis or BERTopic's built-in visualiser) alongside a written topic report.
The analysis covers corpus preprocessing, BERTopic or LDA model training with hyperparameter tuning, topic coherence evaluation, topic labelling with representative examples, temporal trend analysis, and an interactive visualisation (pyLDAvis or BERTopic's built-in visualiser) alongside a written topic report.
What the Freelancer needs to start the work
Please share your text corpus (with timestamps if temporal analysis is needed), your domain and the themes you expect to find, your preferred output format, and your programming environment.