With the evolution of the internet, we have been flooded with a lot of voluminous data from various sources such as news articles, social media platforms, blogs, and so on. Text summarization in the field of natural language processing is the technique of creating a concise and accurate summary of textual data, capturing the essential details that are coherent with the source text.
Text summarization can be of two types, which are as follows:
- Extractive summarization: This method extracts key sentences or phrases from the original source text without modifying them. This approach is simpler.
- Abstractive summarization: This method, on the other hand, works on a complex mapping between the context of the source text and the summary rather than merely copying words from the input to the output. A significant challenge with this approach is that...
