Method and system for programmatic analysis of consumer reviews

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, wherein programmatic generation of a first word sentiment score for a first word in the consumer review comprises:
• determining a word polarity score indicating whether a sentiment expressed in the first word is positive, negative, neutral or unknown, a word negation score indicating whether there is a negation in the context of the first word, and a word intensity score indicating an intensity or magnitude of the sentiment expressed in the first word;
• and
• applying a machine learning algorithm to determine a relationship between the first word sentiment score and the word polarity score, the word negation score, and the word intensity 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;
• 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.

A non-transitory computer-readable medium for programmatically analyzing a consumer review, the non-transitory computer-readable medium having encoded thereon one or more computer-executable instructions that, when executed, cause a computing device to:

• access one or more consumer reviews for a commercial entity or a commercial object;
• identify an attribute descriptor in the one or more consumer reviews;
• 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, wherein programmatic generation of a first word sentiment score for a first word in the consumer review comprises:
• determining a word polarity score indicating whether a sentiment expressed in the first word is positive, negative, neutral or unknown, a word negation score indicating whether there is a negation in the context of the first word, and a word intensity score indicating an intensity or magnitude of the sentiment expressed in the first word;
• and
• applying a machine learning algorithm to determine a relationship between the first word sentiment score and the word polarity score, the word negation score, and the word intensity 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;
• and
• programmatically generating the sentiment score by combining sentence sentiment scores associated with the set of sentences in the consumer review;
• and
• store the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.