Methods and apparatus to collect and analyze rating information

An apparatus to collect rating information, the apparatus comprising:

• at least one of an audio input device or a video input device to collect at least one of audio or video captured in a vehicle;
• rating input device circuitry to receive at least two ratings associated with people, the people being a passenger and a driver of the vehicle, and the ratings being submitted by the passenger and the driver via the rating input device;
• rating analyzer circuitry to:
• employ machine learning techniques to analyze the at least one of the audio or the video to (i) use images from video to determine demographic information for the people and (ii) use a cluster analysis technique to determine one or more sentiments of the people expressed in the at least one of the audio or the video;
• employ machine learning techniques to:
• analyze the rating submitted by a first person in the vehicle, the analysis based on the demographic information for a second person in the vehicle, the one or more sentiments of the people, and historical ratings submitted by the first person, wherein the rating submitted by the first person is a rating of the second person;
• and
• determine whether the rating submitted by the first person includes a bias, the determination based on the analysis and whether the rating submitted by the first person deviates from prior ratings of the second person by a threshold amount;
• and
• report generator circuitry to:
• post the rating submitted by the first person to the historical ratings, the post in response to a determination that the rating submitted by the first person does not include a bias;
• and
• discard the rating submitted by the first person in response to a determination that the rating submitted by the first person includes a bias.

A method to collect rating information, the method comprising:

• collecting at least one of audio or video captured in a vehicle;
• receiving at least two ratings associated with people, the people being a passenger and a driver of the vehicle, and the ratings being submitted by the passenger and the driver;
• employing machine learning techniques to analyze the at least one of the audio or the video to (i) use images from video to determine demographic information for the people and (ii) use a cluster analysis technique to determine one or more sentiments of the people expressed in the at least one of the audio or the video;
• employing machine learning techniques to:
• analyze the rating submitted by a first person in the vehicle, the analysis based on the demographic information for a second person in the vehicle, the one or more sentiments of the people, and historical ratings submitted by the first person, wherein the rating submitted by the first person is a rating of the second person;
• and
• determining whether the rating submitted by the first person includes a bias, the determination based on the analysis and whether the rating submitted by the first person deviates from prior ratings of the second person by a threshold amount;
• posting the rating submitted by the first person to the historical ratings, the post in response to a determination that the rating submitted by the first person does not include a bias;
• and
• discarding the rating submitted by the first person in response to a determination that the rating submitted by the first person includes a bias.

A non-transitory computer readable medium comprising instructions that, when executed, cause a machine to at least:

• collect at least one of audio or video captured in a vehicle;
• receive at least two ratings associated with people, the people being a passenger and a driver of the vehicle, and the ratings being submitted by the passenger and the driver;
• employ machine learning techniques to analyze the at least one of the audio or the video to (i) use images from video to determine demographic information for the people and (ii) use a cluster analysis technique to determine one or more sentiments of the people expressed in the at least one of the audio or the video;
• employ machine learning techniques to:
• analyze the rating submitted by a first person in the vehicle, the analysis based on the demographic information for a second person in the vehicle, the one or more sentiments of the people, and historical ratings submitted by the first person, wherein the rating submitted by the first person is a rating of the second person;
• and
• determine whether the rating submitted by the first person includes a bias, the determination based on the analysis and whether the rating submitted by the first person deviates from prior ratings of the second person by a threshold amount;
• post the rating submitted by the first person to the historical ratings, the post in response to a determination that the rating submitted by the first person does not include a bias;
• and
• discard the rating submitted by the first person in response to a determination that the rating submitted by the first person includes a bias.