How does Bengali Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the original text, creating a summary that retains the most important information.
- Abstractive Summarization. In this approach, the algorithm interprets and paraphrases the text, generating new sentences that convey the main ideas without relying on the original wording.
- NLP Techniques. Natural Language Processing (NLP) techniques are employed to understand the context and semantics of the text, enhancing the summarization accuracy.
- Machine Learning Algorithms. These algorithms learn from large datasets to make informed decisions about which parts of the text are most relevant for inclusion in the summary.
