A conventional AI algorithm for summarizing large texts into a short readable format without the use of any external/inbuilt libraries.
- Word vectors weight assignments is used to determine the priority orders indexing.
- Two step Stem cells pruning is done to restrict insignificant nodes from contributing to weight sums.
- Heap based sorting to form coherence.
No external libraries were used for the implementation. We make use of the heap data structure (for sorting word vectors).
- Select the text file you wish to summarize.
- Set file path to input text file.
- Run python script to generate summary.
Summary length is maitained as standard length (1/3)rd of total length.