Abstract: A system may receive events derived from historical sensor data. The system may generate repeat event records based on the events. The system may cluster the repeat event records into repeat event clusters. The system may determine filter ranges for the repeat event clusters. The system may generate a binarization filter comprising instructions to generate a binary sequence indicative of at least one of the filter ranges. The system may execute the binarization filter to generate binary sequences corresponding to the repeat event records, respectively. The system may train a prediction model based on the binary sequences. The system may deploy the binarization filter and the prediction model to a real-time platform.

Abstract: This disclosure relates to systems and methods for discovering intents from multimedia conversations. In an implementation, the system may obtain an optimal parameter configuration based on a topic relevance quantifier. The system may extract topics from the audio calls based on the optimal parameter configuration. The system may determine respective context metrics for each of the topics. The system may select a relevant topic with respect to the intent discovery from the extracted topic based on the respective context metrics. The system may obtain documents associated with the relevant topic from the corpus of documents. The system may display information of the documents associated with the relevant topic via a user interface. The system may receive a feedback data with respect to the relevant topic. The system may determine intent information associated with the relevant topic based on the feedback data.

Abstract: This disclosure relates to systems and methods for discovering intents from multimedia conversations. In an implementation, the system may obtain an optimal parameter configuration based on a topic relevance quantifier. The system may extract topics from the audio calls based on the optimal parameter configuration. The system may determine respective context metrics for each of the topics. The system may select a relevant topic with respect to the intent discovery from the extracted topic based on the respective context metrics. The system may obtain documents associated with the relevant topic from the corpus of documents. The system may display information of the documents associated with the relevant topic via a user interface. The system may receive a feedback data with respect to the relevant topic. The system may determine intent information associated with the relevant topic based on the feedback data.

Abstract: A system may receive events derived from historical sensor data. The system may generate repeat event records based on the events. The system may cluster the repeat event records into repeat event clusters. The system may determine filter ranges for the repeat event clusters. The system may generate a binarization filter comprising instructions to generate a binary sequence indicative of at least one of the filter ranges. The system may execute the binarization filter to generate binary sequences corresponding to the repeat event records, respectively. The system may train a prediction model based on the binary sequences. The system may deploy the binarization filter and the prediction model to a real-time platform.