Bitvore Municipal Obligor Sentiment Scoring Allows Users to Glean Leading Indicators of Performance from Unstructured Data Sources in Real Time
We are pleased to announce sentiment scoring for municipal obligors.
Muni portfolio managers, credit risk underwriters and analysts can use Bitvore obligor and CUSIP sentiment scores to trend and identify leading indicators of opportunity and risk without the time-consuming efforts associated with manually sifting through news and other unstructured data sources. In addition to the obligor sentiment scoring, Bitvore also announced that muni email alerts will now include article-level sentiment scores.
“Obligor sentiment scoring has been one of the most widely requested enhancements by customers of our Bitvore for Munis product,” said Jeff Drake, CEO, Bitvore. “We’re pleased to announce continuously updated obligor sentiment scoring, allowing immediate identification of emerging opportunity and risk.”
Bitvore derives obligor sentiment by first using sentence by sentence analysis of ingested records that are determined to be business-related and about a specific obligor. Semantic orientation, linear sequencing and semi-supervised, deep learning are then used to derive sentiment at the sentence level. The sentence level sentiment values are then rolled up to an overall aspect-oriented sentiment for each article. Bitvore then derives an average sentiment score in the Bitvore for Munis UI for a selected obligor or CUSIP and time period.
For the full press release on the newest muni obligor sentiment enhancements, access here.
