Analysis Type
The goal of your analysis — such as running a quick scan, grading content, comparing against competitors, or analyzing research.
Discorra tailors insights based on the type you choose.
Content Set
(Linguistic term: Corpus)
A grouped collection of related content you want to analyze — such as ads, pages, emails, competitor copy, or customer feedback.
Core Library
(Linguistic term: Benchmark Corpus)
A reusable “gold standard” dataset of your best or most important content. Used as a benchmark for grading and comparisons.
##3 Market Scan
(Linguistic term: Search Scrape)
Automatically gathers live web content based on a topic, category, or competitor. Lets you explore how the market is talking today without manual collection.
Market Scan Topic
(Linguistic term: Search Query)
The topic, category, or competitor you want Discorra to explore when running a Market Scan.
Project
A workspace where you organize content sets and analysis outputs for a specific marketing task — such as a launch, audit, or repositioning.
Upload Content
(Linguistic term: Text/File Import)
Add content manually by uploading a file, pasting copy, or typing text directly.
Message Themes
(Linguistic term: Messaging Pillars)
The core ideas your content consistently leans on. Discorra identifies these automatically.
Signature Phrases
(Linguistic term: Key Phrases / N-grams)
Important multi-word phrases that define how your brand or competitors talk about a topic.
Missed Opportunities
(Linguistic term: Gap Terms)
Themes or keywords competitors use that you don’t — indicating potential messaging gaps.
Keyword List
(Linguistic term: Lexicon)
A curated set of words representing a concept, such as trust or urgency.
Message Strength
(Linguistic term: Messaging Salience)
How dominant or influential a message theme is relative to others.
Theme Coverage
(Linguistic term: Topic Diversity)
How broad or narrow your range of topics is.
Emotional Tone Profile
(Linguistic term: Sentiment Analysis)
Breaks your content into positive, negative, and neutral tone to show the emotional direction.
Tone Score
(Linguistic term: Comparative Sentiment Score)
A summary of your overall sentiment level across a content set.
Tone Stability
(Linguistic term: Sentiment Volatility)
Indicates whether your tone is consistent or varies sharply across content.
Credibility Score
(Linguistic term: Trust Lexical Density)
Measures how strongly your content communicates reliability, safety, and expertise.
Action Energy
(Linguistic term: Urgency Lexical Density)
Measures how much your content drives immediacy or action.
Word Frequency
(Linguistic term: Token Frequency)
How often a word appears in your dataset.
Emphasis Score
(Linguistic term: Z-Score)
Shows how much more (or less) a word appears in one content set compared to another.
Market Language Overlap
(Linguistic term: Keyword Overlap)
Keywords shared between your content and competitors.
Context Words
(Linguistic term: Collocates)
Words that frequently appear around your chosen term, revealing how it's framed in real usage.
Focus Term
(Linguistic term: Node)
The word you’re analyzing inside the Context Explorer.
Context Explorer
(Linguistic term: Concordancer)
Shows every instance of a term along with the words around it.
Context Range
(Linguistic term: Window)
How many words of left/right context to display around the focus term.
Messaging Overlap
(Linguistic term: Resonance)
How similar your language is to a competitor or benchmark.
Theme Alignment
(Linguistic term: Topic Alignment)
How well your themes match another dataset’s themes.
Theme Strength
(Linguistic term: Topic Z-Scoring / Shared Strength)
Indicates which themes stand out most powerfully relative to another dataset.
Content Quality Score
(Linguistic term: Corpus Grade)
A high-level score summarizing clarity, balance, diversity, trust, and noise inside a dataset.
Backend Linguistics (Hidden Behind UI)
These metrics power insights but are not shown directly to marketers.
- Tokens — individual words after text cleaning
- Collocates — statistical co-occurrence patterns
- PMI, LogDice, LLR, T-score — association strength metrics
- Z-Scores — measures of relative emphasis
- N-grams — frequent multi-word sequences
Discorra abstracts these into intuitive marketer-facing concepts like Context Words, Emphasis Score, and Message Themes.