System and method for customized sentiment signal generation through machine learning based streaming text analytics

摘要

Systems and methods may provide customized integrated indexes and visualization. Sentiment analytics may be based on natural language processing techniques. Users may select from among a range of indexes that reflect a variety of sources. Text scoring metrics or indices may incorporate frequency of mention, link to broker action, sentence location of first mention, etc. Depending on the temporal and sentiment characteristics of interest, the user may select from a range of news sources, research reports, analysts, social media sources, and may assign a customized weight value to each source. The scores may then be merged. After scoring, the user may be presented with news links directly from sentiment indexes (e.g., from top ranking in terms of sentiment scores, etc.). Advanced visualization capabilities may provide output for users to assist in decision making processes.

主权项

1. A computer implemented method, comprising:
extracting, by the computer processor, one or more sentiment signals comprising weighted, customized sentiment metrics for words and expressions from a library comprising one or more research reports from one or more sources; calculating normalized profiles for the one or more sources of data based on one or more of geography, sector, analyst, company, and streaming real time data feedback; normalizing, by the computer processor, the one or more sentiment signals based on text positioning, sentence structure, and data source; calculating an overall sentiment score; receiving, by the computer processor, one or more data streams; receiving, by the computer processor, a set of weighted, customized metrics based on the one or more sentiment signals wherein the set of weighted, customized metrics is received from a dynamically updated database that assigns and updates sentiments based on empirical data, customizes factors based on analyst, sectors, and geography, and comprises numeric sensitivity factors for numeric expressions; applying the set of weighted, customized metrics to the one or more data streams; outputting, by the computer processor, a customized data stream that is a result of the application of the set of weighted, customized metrics; ranking the one or more sentiment signals based on the overall sentiment score; and providing a visualization of the ranking including a link to each source associated with the one or more sentiment signals.