Download presentation
Presentation is loading. Please wait.
Published byMerry May Modified over 5 years ago
1
PolyAnalyst™ text mining tool Allstate Insurance example
Sergei Ananyan Megaputer Intelligence (812)
2
PolyAnalyst Overview
3
PolyAnalyst™ text mining tool
Knowledge discovery tool for business users Easy-to-understand actionable results Data Overload Useful Knowledge PolyAnalyst TM
4
Text Mining with PolyAnalyst
Generating Reports Data Analyst Collecting & Storing Data Automated Text Analysis Decision Maker
5
Capabilities of PolyAnalyst
Unlocks value hidden in massive volumes of data and text Solves many typical text analysis tasks: Categorization Clustering Taxonomy building Entity extraction Natural language search Multi-dimensional reporting Visual link analysis Enterprise level scalability Visual creation of analysis scenarios Interactive visualization and drill-down Executive reports
6
PolyAnalyst extra features
In addition, PolyAnalyst offers the following features: Automated spelling correction Negation detection Sentiment analysis Words and patterns search Ability to discover unexpected issues Dictionary editor for synonyms, abbreviations and stop-words
7
Handled Business Tasks
Survey data analysis Call Center data analysis Repair notes analysis Incident report analysis Claims notes analysis target routing Competitive intelligence Fraud detection Intellectual property research
8
PolyAnalyst application domains
Government Insurance Financial High Tech Consumer Products Manufacturing
9
Step 1. Data Analysis
10
PolyAnalyst Data Analysis Scenarios
11
Data Loading and Integration
Import the data for analysis: any database, document collection, Internet, RSS, and mail server Merge data from different sources Unify and prepare records for analysis
12
Keyword Extraction Extracts keywords that comprise the investigated documents Displays all records for a selected keyword with the word highlighted
13
Phrase Extraction Extracts phrases and stable combinations of words
14
Visualization of Clusters and Patterns
Provides drill-down capability to review specific cases
15
Entity Extraction Extracts company names, geographic locations, date stamps, currency amounts, telephones, URLs, s, etc.
16
Document Clustering Hierarchical or binary grouping of documents
Automated creation of a tentative taxonomy for categorization
17
Document Categorization
Review the clustering results to introduce custom changes in the categorization patterns
18
Visualizing Categorization Results
Charts support dynamic drill-downs to original documents
19
Advanced Search Engine
Offers term proximity searches, dictionary-based searches and more
20
Dictionary Management
Dictionaries provide the base for linguistic-based search and categorization functions, maintain lists of known and stop words Dictionary Manager allows to importing or creating domain-specific thesauri
21
Step 2. Reporting PolyAnalyst for Business Users
22
Site Manager’s Report: Food & Beverage
23
Site Manager’s Report: Villa Cleanliness
24
Benefits of Text Mining with PolyAnalyst
25
Benefits Extracting value from massive volumes of text
Dramatic reduction in the cost of data analysis Increase in quality and speed of the analysis PolyAnalyst successfully categorizes 95% of text records PolyAnalyst provides 10,000 time better speed than manual analysis Automated monitoring of data for known problems Timely discovery of emerging issues and trends Joint analysis of text and structured data Objective and uniform data-driven analysis Delivering interactive report to decision makers
26
Next Steps (812) 330-0110 sananyan@megaputer.com Call or write
120 W Seventh Street, Suite 314 Bloomington, IN USA
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.