Sentence Analyzer - enabling business and enterprise applications to handle sentences and text

Reading a 100 project reports    Even a mid-sized project, can you really read all weekly reports ? Can a software alert you to the important ones ?

This demo shows the ease of configuring alerts from formatted enterprise documents, project comments, statuses.
Scenario : Most enterprises have workflows, BPM or no-BPM. The screens usually have a "comment" box which passes through untouched by most software. Yet to many users these boxes are serious communication points, they enter vital secondary information while completing or moving tasks, or any unusual business event. Software ought to ensure that user comments are never ignored.
User comments are often terse, and have repititive business phrases, rather ideal candidates for sentence based determinations. Even with false positives, the value of such an alerting system is high. Alerts can also be bubbled right upto the CEO's dashboard, depending on whatever happens to be the business criticality at that time.
Try out the below , and sometimes, explore the "Compare less tightly" and other options. For questions : kinshuk_in @ yahoo dot. com
Note : The RESULTS shown are the human readable equivalent of Java/C# objects, and they have lots of additional information, like word meanings, group codes like colors and flavors etc., intended for further analytical/statistical treatment. This demo (created with no NLP APIs), stresses that with text, it is better to first maximize grammar based processing, and use statistics/math methods much later.
Sentences must be separated from each other by an ending period (. or ! or ?) and one space. Skip the descriptive stuff and go directly to demo
Project Statuses : alerts from project comments ( Click more samples :         then Find/Collect)
Enter DESIRED benchmark sentence(s), or click one of the sample buttons above.. Max. 5 sentences.
Enter TARGETed sentence(s) or a paragraph. [See a Project status extract below]. This is what you want compared against the benchmark(s). Max. 20 sentences.
(Please scroll down for the RESULTS)     
Summary results : Searched and sorted among 7 target sentences. Highest co-relation 75.0 percent.
Best matching content + structure after a find/collect operation
All sorted matches (Best finds on top, degrades towards the end, and very bad matches ignored)
Options for comparing, or finding and selecting (i.e. change default settings)
Compare less tightly Use frequently, if find results are not OK
More structural than content  and 
Tree depth (deeper into structure)
  • Features, tall claims, and things to note in this demo :
  • .
More view/try pages here.
Generic use cases
Back to home/basic analyzer
Comparing sentences, several modes
Find/search/sort/filter
Crunching a big text
Wildcard usages in pure structure mode
Business use cases
Handling Notes section in annual reports
Crunching of a Presidential speech
Executive profiles
Project statuses
USPTO events alerter
Customer reviews
Back to home/basic analyzer

More reading for those interested...

1. Things that are not obvious from the demo
2. Business products and possibilities
3. So what !! Universal grammar has been in use for decades now ...
4. The inevitable comparisons, to what already exists out there.
5. What is a sentence, to future application builders ?
6. The genesis and design principles story
7. Arbitrary listing of business usages
8. Extensions, additions, customizations possible in the toolkit
9. Important : Combining with the document extraction tool at text2data.net, benefits
Comments are important to users. Therefore, comments are important to machines.
Contact at : kinshuk_in @ yahoo dot. com