Statement AnalyzerAdvanced Interviewing Concepts
|
word2vecGoogle
|
|||||
Related Products
|
||||||
About
Welcome to the Statement Analysis® website. My name is Mark McClish. I am a retired Supervisory Deputy United States Marshal with 26 years of federal law enforcement experience. I taught interviewing techniques at the U.S. Marshals Service Training Academy which is located at the Federal Law Enforcement Training Center in Glynco, Georgia. During my nine years teaching at the Training Academy, I conducted research on deceptive language. Based on my findings, I developed techniques to determine if a person is lying or telling the truth by analyzing the subject's language. I call my method for examining a person's words Statement Analysis. Statement Analysis® is the most accurate way of determining if a person is lying in a verbal or written statement. A person cannot give a lengthy deceptive statement without revealing that it is a lie. This is because people's words will betray them. There are usually several ways you can phrase a statement.
|
About
Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Law Enforcement solution for communities
|
Audience
Researchers, data scientists, and developers working in natural language processing (NLP) and machine learning who need efficient word embeddings for text analysis and semantic understanding
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and VideosNo images available
|
|||||
Pricing
$35 one-time payment
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAdvanced Interviewing Concepts
Founded: 2002
United States
www.statementanalysis.com
|
Company InformationGoogle
Founded: 1998
United States
code.google.com/archive/p/word2vec/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Law Enforcement Features
Case Management
Certification Management
Court Management
Court Management Integration
Crime Scene Management
Criminal Database
Dispatching
Evidence Management
Field Reporting
Incident Mapping
Internal Affairs Administration
Investigation Management
Scheduling
|
||||||
Integrations
Gensim
|
||||||
|
|
|