Statement Analyzer

Statement Analyzer

Advanced Interviewing Concepts
word2vec

word2vec

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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 Videos

No images available

Pricing

$35 one-time payment
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Advanced Interviewing Concepts
Founded: 2002
United States
www.statementanalysis.com

Company Information

Google
Founded: 1998
United States
code.google.com/archive/p/word2vec/

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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

Integrations

Gensim
Claim Statement Analyzer and update features and information
Claim Statement Analyzer and update features and information
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Claim word2vec and update features and information