Data Annotation tool for labeling topic modeling dataset: Skyl Labelwise

Topic modeling is an unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.

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What is Topic Modeling? An Introduction to Topic Modeling Use Cases

Imagine that you need to find a specific piece of information for your company, from a large collection of documents, within a tight deadline. It may be an important statistic or a crucial piece of information needed urgently. How much time do you think it will take for you to find that information from your company database? Looking for information within millions of documents will be like looking for a needle in a haystack. It will take a long time and the task will be practically impossible. This is where Machine learning and Topic modeling comes into place.

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