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The Training: Mastering Thematic Analysis of Texts with BERTopic: From Extraction to Interpretation training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training: Mastering Thematic Analysis of Texts with BERTopic: From Extraction to Interpretation training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training: Mastering Thematic Analysis of Texts with BERTopic: From Extraction to Interpretation training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Overview of automated thematic analysis methods; limitations of LDA; fundamental concepts of BERTopic; principles of clustering, dimensionality reduction, sentence vectorization (Sentence Transformers, BERT); installation of BERTopic and discovery of its main features.
Advanced preprocessing and cleaning of textual data (stopwords, stemming/lemmatization, filtering); precise parameterization of BERTopic (selection of vectorization models, tuning of UMAP/HDBSCAN); importing real data (CSV, JSON, dataframes); customized theme extraction; analysis of theme stability and granularity.
In-depth analysis of BERTopic results (word importance, auto-labeling, theme grouping); interactive visualization (heatmaps, graphs, theme hierarchies, time series); best practices for interpretation and presentation; automation of processing pipelines (API, batch processing); case studies and practical workshops on sectoral datasets (human resources, customer feedback, market studies).
Target audience
Data professionals, analysts, researchers, and consultants wishing to automate thematic extraction on large textual corpora
Prerequisites
Basic knowledge of Python and data science; NLP basics recommended
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