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This is an extractive text summarization based on cosine similarity. Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of angle between them. Angle will be zero if sentences are similar.
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Below are the steps involved in the process (ensure that the packages are installed): I. importing all the libraries II. inputting the text III. tokenizing the text IV. frequency table for score of each word V. score of each sentence VI. average value VII. storing sentence in the summary