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Weiver - a Review Aggregation and Analytics Program

Our group hackathon project at Kent Hack Enough hackathon 2016.

Weiver is a terminal-based proof-of-concept review aggregation and analytics program. Given the name of a technology product as input, Weiver searches for the appropriate webpages on various technology review sites and pulls the review body as well as relevant data such as the review title, url, and common sections such as the pros and cons section. It then searches for a list of keywords and counts their frequency, as well as determining the most common terms that appear in a given article excluding common words (and, the, etc; what words to exclude are specified in a json file). Finally, it aggregates the text from across reviews and similarly analyzes that. The final output, the result of Weiver's analysis, is formatted and printed to the user.