CLI.arabiner.bin.infer

About:

The arabi_ner tool performs Named Entity Recognition (NER) using the ArabiNER utility from the SinaTools suite. Given a text input, it identifies named entities present and returns a detailed analysis in JSON format.

Usage:

Below is the usage information that can be generated by running arabi_ner –help.

arabi_ner --text=INPUT_TEXT
arabi_ner --file=INPUT_FILE

Options:

--text INPUT_TEXT
      The text that needs to be analyzed for Named Entity Recognition.
--file INPUT_FILE
      File containing the text to be analyzed for Named Entity Recognition

Examples:

arabi_ner --text "Your text here"
arabi_ner --file "path/to/your/file.txt"

Note:

- Ensure that the text input is appropriately encoded in UTF-8 or compatible formats.
- The tool returns results in JSON format with proper indentation for better readability.
- The quality and accuracy of the analysis depend on the underlying capabilities of the ArabiNER utility.
- It's recommended to adjust the batch size based on the size of the input data and available computational resources. Larger batch sizes might be faster but consume more memory.