Patent Document ID: 9741058
Application ID: 15073486

Base Claim:
1. An apparatus for programmatically analyzing a consumer review, the apparatus comprising: a processor configured to programmatically access, via a networked device, one or more consumer reviews for a commercial entity or a commercial object; a consumer review processing engine programmed to programmatically identify an attribute descriptor in the one or more consumer reviews, and programmatically generate a sentiment score associated with the one or more consumer reviews, wherein programmatic generation of the sentiment score comprises: using a natural language processing engine to programmatically parse the consumer review into a set of sentences; using the natural language processing engine to programmatically parse each sentence in the set of sentences into a set of words; for each word in the set of words in each sentence, programmatically generating a word sentiment score; for each sentence in the set of sentences, programmatically generating a sentence sentiment score, the sentence sentiment score generated based on word sentiment scores associated with words in the sentence, wherein programmatically generating the sentence sentiment scores includes applying a machine learning algorithm to determine a relationship between the sentence sentiment score and the word sentiment scores associated with the words in the sentence; and programmatically generating the sentiment score by combining sentence sentiment scores associated with the set of sentences in the consumer review; and a non-transitory computer-readable storage device configured to store the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.

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Claim 5:
5. The apparatus of claim 1 , wherein programmatic generation of the first sentence sentiment score for the first sentence in the consumer review comprises: programmatically identifying one or more emoticons in the first sentence; and assigning one or more emoticon scores to the one or more emoticons based on sentiments expressed in the emoticons; wherein the first sentence sentiment score is determined based on the one or more emoticon scores.