Automatic Extractive Text Summarization using NLTK library implemented using Python, by tokenizing the sentences, finding the weighted frequency of occurrence, and calculating sentence scores. natural-language-processingnlp-machine-learningautomatic-summarizationnlp-keywords-extractionbeautifulsoup4nltk-python ...
pip install git+https://github.com/davidadamojr/TextRank.git Use of the library requires downloading nltk resources. Use the textrank initialize command to fetch the required data. Once the data has finished downloading you may execute the following commands against the library: textrank extract...
The generated description was evaluated using the BLEU [42] score. The BLEU score is a machine translation evaluation measure that evaluates the generated description with the n-grams of the human description of images. It is computed using the Natural Language Toolkit (NLTK) (http://www.nltk....
It is computed using the Natural Language Toolkit (NLTK) (http: //www.nltk.org/) package. The generated captions were divided into three kinds, successful, partially successful, and unsuccessful, based on the BLEU scores. The classification was based on Table 1. The thresholds for the BLEU ...