https://github.com/abdiasarsene/mapping_and_evolution_of_circular_business_models
This repository analyzes trends in circular business models using NLP techniques like LDA for thematic analysis, word clouds for visualization, and spaCy for semantic exploration.
https://github.com/abdiasarsene/mapping_and_evolution_of_circular_business_models
lda-model seaborn sklearn spacy wordcloud-visualization
Last synced: about 2 months ago
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This repository analyzes trends in circular business models using NLP techniques like LDA for thematic analysis, word clouds for visualization, and spaCy for semantic exploration.
- Host: GitHub
- URL: https://github.com/abdiasarsene/mapping_and_evolution_of_circular_business_models
- Owner: Abdiasarsene
- Created: 2025-03-12T23:32:15.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-13T01:51:28.000Z (about 2 months ago)
- Last Synced: 2025-03-13T02:34:36.107Z (about 2 months ago)
- Topics: lda-model, seaborn, sklearn, spacy, wordcloud-visualization
- Language: Python
- Homepage: https://github.com/Abdiasarsene/Mapping_and_Evolution_of_Circular_Business_Models
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Circular Business Models Analysis
This repository focuses on analyzing the evolution and trends in circular business models using state-of-the-art Natural Language Processing (NLP) techniques. It explores themes through **thematic analysis** with LDA (Latent Dirichlet Allocation), visualizes keywords with **word clouds**, and performs **semantic analysis** leveraging spaCy.
## Features
- **Thematic Analysis**:
- Implements LDA for topic modeling to identify dominant themes across textual data.
- **Keyword Visualization**:
- Generates word clouds to highlight the most frequently occurring terms and keywords.
- **Semantic Analysis**:
- Leverages spaCy for analyzing word relationships, phrase dependencies, and sentiment/context comprehension.
## Getting Started
### Prerequisites
Ensure you have the following installed on your system:
- Python 3.8+
- `pandas` for data manipulation
- `numpy` for numerical computations
- `matplotlib` and `wordcloud` for data visualization
- `spacy` for semantic analysis
- `gensim` for LDA-based topic modeling
### Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/circular-business-models-analysis.git
cd circular-business-models-analysis