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freelancer.com 2026-04-14 🟡

🔹 Extract Key Themes from Research Articles
👤 Client: 🇨🇱 Paris, Chile Member since 2026-04-10
💰 Price: $17 / hr Average bid
🚩 Problem: Ingesting and processing text data to identify key themes and topics within scientific articles.
📦 Existing: Not specified

Specifications:

[Target] - Identify and extract key themes and topics from a collection of research articles.
[Method] - Use natural language processing (NLP) techniques including text cleaning, normalization, and topic modeling.
[UI/UX] - Not applicable; focus on backend processing.
[Stack] - Python with libraries such as spaCy, NLTK, gensim, BERTopic for NLP tasks. Visualization tools like Matplotlib or Plotly for visual summaries.
[Security] - Ensure data privacy and security by handling sensitive information appropriately during text processing.
[Format] - Deliverables include a well-commented code notebook, methodological write-up, theme/topic list with descriptions, and supporting visualizations.

Workflow:

1. Ingest the collection of research articles into a local or cloud storage system.
2. Clean and normalize the text data by removing stop words, punctuation, and performing lemmatization/stemming.
3. Apply topic modeling techniques such as Latent Dirichlet Allocation (LDA) using gensim or BERTopic for more advanced models to identify key themes and topics.
4. Generate visual summaries like word clouds or interactive topic maps using visualization libraries.