Method and system of an opinion search engine with an application programming …

This invention describes a computer system that sifts through social media posts and other online information to figure out what people are saying and feeling about specific topics, like a product or a company. It then combines this raw data with organized information to calculate how much buzz something is getting and what the general mood is, presenting it all in an easy-to-understand visual display. The system specifically calculates 'buzz' by comparing an entity's activity to the highest activity seen in that period, sometimes as a percentile.

Why it matters: Filed in 2016, this system for analyzing social media sentiment could now leverage vastly improved AI and Natural Language Processing models. These advancements make the core task of accurately discerning 'buzz' and 'mood' from unstructured text significantly more feasible and powerful than a decade ago.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, data acquisition, NLP, visualization.

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