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Manish asked 1 month ago • ROUGE Question

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What is ROUGE and how it works for evaluation of summaries?
ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It is essentially of a set of metrics for evaluating automatic summarization of texts as well as machine translation. It works by comparing an automatically produced summary or translation against a set of reference summaries (typically human-produced). Let us say, we have the following system and reference […]
Giving an IDF Effect to Probability Count of Words
The probability of an n-gram or word tells you how important a word is to a document. Unfortunately, since a document almost always has important words inter-mingled with conjunctions and determiners and other types of noise, using the raw probabilities may not be a good idea. One thing that you can do, is to normalize these […]
Untold Truths About Text Mining and Web Mining in Practice
Truth #1: There is no such thing as "THE TOOL" for text miningPeople often ask me, "So what tool do you use for your text analysis projects"...This is how it typically goes..I stare at them not sure whether I should laugh or cry, they stare at me thinking I am crazy and there is a […]

What algorithm does Sentence Clustering use? asked by chad
How do I use a variable in unirest.post while doing topics extraction? asked by Sridhar Nerur
Could I use k-means instead of RxNLP Sentence Clustering? asked by Vik
Control sentence clustering granularity? asked by Anson
What is topic.type? asked by Dahae kim