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Python Social Media Analytics by Michal Krystyanczuk, Siddhartha Chatterjee

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Topic interpretation

Here, we'll go deeper into the analysis by trying to interpret the meaning of each topic that we have discovered in the earlier steps. The way to interpret the topics is to analyse by linking the higher and lower weighted words and extracting examples of verbatims for the individual topic. This is quite a time-consuming process but the results are the most qualitative as it gives context to the results of the algorithm. An important aspect to keep in mind is that not all the topics will be interesting or making sense, so we need to identify those which are interesting to the subject we are working on. In our case, we are looking for topics which have discussion around car usage, maintenance, brands, and so on. We are ...

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