How does Marathi Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques are used to analyze and understand the structure and meaning of Marathi texts, enabling the summarizer to identify key components of the content.
- Text Rank Algorithm. This algorithm ranks sentences based on their importance within the text, allowing the summarizer to select the most relevant sentences for the final summary.
- Tokenization. Tokenization breaks text into smaller units, such as words or sentences, facilitating easier processing and extraction of key information.
- Lexical Analysis. Lexical analysis examines the text's language and structure, helping the summarizer to better understand context and meaning for effective summarization.