Abstract: A system and method for providing reviews that includes a network, a first client device connected to the network, a second client device connected to the network, a survey server connected to the network, and a social media server connected to the network. The method includes the steps of sending a message with a portion of bio information sent by the second client device; receiving a message with a code; sending a message with a link to a social media selection page; and, sending the social media selection page, which comprises one or more portions of the social media information.

Abstract: A system and method for determining a survey sentiment includes a network, a survey system, an administrator, and a set of users, each connected to the network. The method includes the steps of receiving a set of questions for the survey, a set of predetermined answers to the set of questions, a set of parameters, and a target list, generating a survey message from the target list and the set of parameters, sending the survey message, sending the set of questions and the set of predetermined answers in response to the survey message, receiving a set of audio responses and a set of text responses to the set of questions, receiving a set of selected answers to the set of questions, determining a set of sentiments from the set of audio responses, the set of text responses, and the set of selected answers, and compiling the set of sentiments.

Abstract: A system and method for distributing and analyzing a set of tests includes a network, a test system, a manager, and a set of users connected to the network. The method includes the steps of receiving a set of challenges, a set of predetermined responses, and a set of parameters, generating a test message, sending the test message to each user, sending the set of challenges and the set of predetermined answers in response to the test message, receiving a set of audio responses, a set of text responses, a set of video responses, and a set of selected responses from the set of predetermined responses, analyzing the set of audio responses, the set of text responses, the set of video responses, and the set of selected responses, and calculating a set of scores.

Abstract: A system and methods for transcribing text from audio and video files including a set of transcription hosts and an automatic speech recognition system. ASR word-lattices are dynamically selected from either a text box or word-lattice graph wherein the most probable text sequences are presented to the transcriptionist. Secure transcriptions may be accomplished by segmenting a digital audio file into a set of audio slices for transcription by a plurality of transcriptionist. No one transcriptionist is aware of the final transcribed text, only small portions of transcribed text. Secure and high quality transcriptions may be accomplished by segmenting a digital audio file into a set of audio slices, sending them serially to a set of transcriptionists and updating the acoustic and language models at each step to improve the word-lattice accuracy.