Define the construct
Choose tone, stance toward an entity, uncertainty, urgency, or another observable language feature.
Feature · Qualitative analysis
Telegram sentiment analysis that preserves context
Review tone, stance, and framing in selected Telegram messages with citations and uncertainty instead of an unexplained sentiment score.
Direct answer. The Ocean can support a qualitative review of tone, stance, and framing in selected Telegram messages by retrieving relevant passages and citing them. It does not provide a validated automatic sentiment classifier or treat a positive/negative label as an objective fact.
Research fit
Who this workflow is for
Researchers studying narratives or reactions who need to inspect the language behind every interpretation.
Retrieve representative passages
Use the same topic and period across sources and include disagreement or ambiguous language.
Code with uncertainty
Attach each interpretation to a passage and mark sarcasm, translation risk, and mixed signals.
Practical module
A qualitative coding frame
Use descriptive categories that a second reviewer can audit.
TargetThe person, organization, event, or claim whose framing is being reviewed.
Observed languageA permitted excerpt or paraphrase plus the direct post citation and surrounding context.
InterpretationA bounded code with confidence, ambiguity, and an alternative reading when plausible.
Cited framing-analysis worksheet
This prompt asks for inspectable language evidence and avoids pretending that sentiment is a settled numeric fact.
For [selected sources] and [period], identify messages about [target]. Describe observable tone, stance, certainty, and framing; cite every example; separate quoted speech from the source's own words; and mark ambiguous, sarcastic, or translation-sensitive passages.
Inputs to set
- Target
- A clearly named entity, event, proposal, or claim.
- Coding frame
- The language features to observe, defined before reading results.
- Sample
- Selected sources, dates, and minimum evidence needed for a finding.
Expected output
- Cited passages grouped by observable framing
- Confidence and plausible alternative interpretation
- Coverage and language-review notes
Review before use
- Verify quoted speech is not attributed to the channel
- Have a fluent reviewer inspect critical translations
- Do not convert examples into population-level claims
Read the complete resource
# Cited framing-analysis worksheet This prompt asks for inspectable language evidence and avoids pretending that sentiment is a settled numeric fact. ## Query For [selected sources] and [period], identify messages about [target]. Describe observable tone, stance, certainty, and framing; cite every example; separate quoted speech from the source's own words; and mark ambiguous, sarcastic, or translation-sensitive passages. ## Inputs - **Target:** A clearly named entity, event, proposal, or claim. - **Coding frame:** The language features to observe, defined before reading results. - **Sample:** Selected sources, dates, and minimum evidence needed for a finding. ## Expected output - Cited passages grouped by observable framing - Confidence and plausible alternative interpretation - Coverage and language-review notes ## Review checks - [ ] Verify quoted speech is not attributed to the channel - [ ] Have a fluent reviewer inspect critical translations - [ ] Do not convert examples into population-level claims
Boundaries
What this does not establish
- No dedicated or benchmarked sentiment-classification model is claimed
- Sarcasm, idiom, translation, and quoted speech can reverse apparent tone
- Qualitative framing does not prove author intent or audience reaction
Founding research pilot
Apply with a framing-analysis task
Bring one recurring research job and a small set of public sources. We will assess fit personally before offering a pilot.
Apply for a 14-day research pilot
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Related guides
Publication notes. This page was reviewed before publication and is scheduled for review by 2026-12-19. Facts used: product-chat-modes · product-citations · product-cross-language · product-limitations