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An updated version of Standard-Based Impact Classification (SBIC) method of CSR report analysis in accordance with GRI framework
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---
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license: gpl-3.0
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---
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An updated version of Standard-Based Impact Classification (SBIC) method of CSR report analysis in accordance with GRI framework
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Here's a README section with instructions on how to run the code.
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---
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# **Multilabel Classification Step**
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This code performs report similarity search using **cosine similarity**, **K-Nearest Neighbor (KNN) algorithm**, and **Sigmoid activation function** to classify reports based on embeddings.
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## **Prerequisites**
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Ensure you have the following installed before running the script:
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- Python 3.8+
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- Required Python libraries (install using the command below)
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```bash
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pip install numpy pandas torch sentence-transformers scikit-learn
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```
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## **Input Files**
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Before running the script, make sure you have the following input files in the working directory:
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1. **Patent Data Files**:
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- `df_360k_41lables_05012023.csv`
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- `german_plc_all_paragraphs_unnested_only.csv`
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2. **Precomputed Embeddings**:
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- dataset for prediction:`embeddings_paragraphs_07012023.pkl`
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- labeled dataset:`embeddings_sentences_360k_09012023.pkl`
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## **Running the Script**
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Run the script using the following command:
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```bash
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python script.py
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```
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## **Processing Steps**
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The script follows these main steps:
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1. **Load Data & Pretrained Embeddings**
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2. **Perform Cosine Similarity Search**: Finds the most relevant reports (sentences) using `semantic_search` from `sentence-transformers`.
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3. **Apply K-Nearest Neighbor (KNN) Algorithm**: Selects top similar reports (sentences) and aggregates predictions.
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4. **Use Sigmoid Activation for Classification**: Applies a threshold to generate final classification outputs.
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5. **Save Results**: Exports `df_results_0_50k.csv` containing the processed data.
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## **Output File**
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The processed results will be saved in:
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- `df_results_0_50k.csv`
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## **Execution Time**
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Execution time depends on the number of test samples and system resources. The script prints the total processing time upon completion.
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---
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license: gpl-3.0
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---
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