Senior Data Scientist, Mawdoo3 Ltd
Big Data Engineer, Beyond Limits
Senior Data Engineer, Slintel-6sense company
Head of Data Science, Slated
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
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Topic modelling is a method for finding a group of words (i.e. topics) from a collection of documents that best represents the information in the collection of text documents. It can also be thought of as a form of text mining - a way to obtain recurring patterns of words in textual data. The topics identified are crucial data points in helping the business figure out where to put their efforts in improving their product or services.
In this project we will use unsupervised technique - Kmeans, to cluster/ group reviews to identify main topics/ ideas in the sea of text. This will be applicable to any textual reviews. In this series, we will focus on twitter data which is more real world and more complex data compared to reviews obtained from review or survey forms.
Topic modelling provides us with methods to organize, understand and summarize large collections of textual information. It helps in:
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