12. A computer-executed method for programmatically analyzing a consumer review, the method comprising: programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object; executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews; executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews, wherein programmatically generating 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 storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.
12. A computer-executed method for programmatically analyzing a consumer review, the method comprising: programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object; executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews; executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews, wherein programmatically generating 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 storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object. 22. The computer-executed method of claim 12 , wherein the attribute descriptor indicates a category or sub-category associated with the commercial entity or the commercial object.