Shahzad Khan, PhD

Individuals receive overwhelming barrage of information which must be filtered, processed, analysed, reviewed, consolidated and distributed or acted upon. However, prior art tools for automatically processing content, such as for example returning search results from an Internet or database search for example are ineffective. Prior art search techniques merely provide large numbers of "hits" with at most removal of multiple occurrences of identical items. However, it would be beneficial to… Show more

Individuals receive overwhelming barrage of information which must be filtered, processed, analysed, reviewed, consolidated and distributed or acted upon. However, prior art tools for automatically processing content, such as for example returning search results from an Internet or database search for example are ineffective. Prior art search techniques merely provide large numbers of "hits" with at most removal of multiple occurrences of identical items. However, it would be beneficial to present searches as a series of multi-document clusters wherein occurrences of commonly themed content are clustered allowing the user to rapidly see the number of different themes and review a selected theme. Further, it would be beneficial, in repeated searches, for new clusters to be identified automatically as well as new items of content associated with existing clusters to be associated to these clusters. Show less

Individuals receive overwhelming barrage of information which must be filtered, processed, analyzed, reviewed, consolidated and distributed or acted upon. However, prior art tools for automatically processing content, such as for example returning search results from an Internet or database search for example are ineffective. Prior art search techniques merely provide large numbers of “hits” with at most removal of multiple occurrences of identical items. However, it would be beneficial to… Show more

Individuals receive overwhelming barrage of information which must be filtered, processed, analyzed, reviewed, consolidated and distributed or acted upon. However, prior art tools for automatically processing content, such as for example returning search results from an Internet or database search for example are ineffective. Prior art search techniques merely provide large numbers of “hits” with at most removal of multiple occurrences of identical items. However, it would be beneficial to present searches as a series of multi-document clusters wherein occurrences of commonly themed content are clustered allowing the user to rapidly see the number of different themes and review a selected theme. Further, it would be beneficial, in repeated searches, for new clusters to be identified automatically as well as new items of content associated with existing clusters to be associated to these clusters. Show less

Individuals receive overwhelming barrage of information which must be filtered, processed, analyzed, reviewed, consolidated and distributed or acted upon. Automatic approaches to “scraping” salient content from sources of content are provided allowing the salient content to be provided to the user or subjected to further processing such as clustering or sentiment analysis for example.
Embodiments of the invention provide for:
automated scraper induction based on document and/or contextual… Show more

Individuals receive overwhelming barrage of information which must be filtered, processed, analyzed, reviewed, consolidated and distributed or acted upon. Automatic approaches to “scraping” salient content from sources of content are provided allowing the salient content to be provided to the user or subjected to further processing such as clustering or sentiment analysis for example.
Embodiments of the invention provide for:
automated scraper induction based on document and/or contextual semantic cues and document structure analysis.
identifying salient text, removing boiler-plate text, off-topic content and other non-salient content;
deriving reusable descriptive extraction patterns for subsequent documents;
applying descriptive extraction patterns for extraction from subsequent documents from the same source;
intelligent identification of extraction success confidence score, using historical success scores; and
employing confidence scores to automatically trigger new extraction pattern identification if extracted confidence is below an acceptable confidence threshold. Show less

Embodiments of the invention provide automatic contextual based sentiment classification of content in terms of both sentiments expressed and their intensity. Further, a content set is analysed to rapidly establish an "at-a-glance" type assessment of the key topics/themes present within the content set and sentimentally annotate each. Importantly, embodiments of the invention also provide for a user to establish the basis for the sentiment associated with an item of or set of content, i.e. make… Show more

Embodiments of the invention provide automatic contextual based sentiment classification of content in terms of both sentiments expressed and their intensity. Further, a content set is analysed to rapidly establish an "at-a-glance" type assessment of the key topics/themes present within the content set and sentimentally annotate each. Importantly, embodiments of the invention also provide for a user to establish the basis for the sentiment associated with an item of or set of content, i.e. make it explainable. Further embodiments of the invention provide for the establishment of psychological tone to sentiments where the sentiments and psychological tones to be tuned are from the context or domain of the content. Show less

Automatic approaches to scraping salient content from sources of content are provided that allow the salient content to be provided to the user or subjected for further processing such as clustering or sentiment analysis. Embodiments of the invention provide for: automated scraper induction based on document and/or contextual semantic cues and document structure analysis; identifying salient text, removing boiler-plate text, off-topic content and other non-salient content; deriving reusable… Show more

Automatic approaches to scraping salient content from sources of content are provided that allow the salient content to be provided to the user or subjected for further processing such as clustering or sentiment analysis. Embodiments of the invention provide for: automated scraper induction based on document and/or contextual semantic cues and document structure analysis; identifying salient text, removing boiler-plate text, off-topic content and other non-salient content; deriving reusable descriptive extraction patterns for subsequent documents; applying descriptive extraction patterns for extraction from subsequent documents form the same source; intelligent identification of extraction success confidence score, using historical success scores; and employing confidence scores to automatically trigger new extraction pattern identification if extracted confidence is below an acceptable confidence threshold. Show less