<format type="xml">{analysis_id: string, source_platform: string, document_id: string, timestamp: date, extracted_text: string, company_entity: string, campaign_or_event_context: string optional, sentiment_metrics: {overall_score: number, label: string, confidence: number, keywords_detected: list[string], emotions_detected: list[{type: string, score: number}] optional}, stakeholder_profile: {type: string, location: string optional, influence_score: number optional} optional, topics_discussed: list[{topic: string, relevance_score: number}], identified_issues: list[{issue_type: string, severity: string, recommended_action: string}] optional}</format> <data>**CONFIDENTIAL: STAKEHOLDER SENTIMENT ANALYSIS BRIEFING**

**Analysis ID:** SEA-2025-08-13-2165

A new data point, document ID 184624632879120342, was captured by our listening platform from a Twitter source. The system ingested and processed this item at approximately 1976-12-14T18:22:26.050117Z. The analysis was completed using our NLP model v4.1, which has shown a 3% improvement in sarcasm detection in recent benchmarks. The subject of the feedback was identified as Ray-Short.

The content of the message reads: "My thoughts on Ray-Short: broken promises. It really makes you think about their stance on e-tailers and web-readiness. Seriously disappointed. #Ray-ShortFail #e-tailers"
Our sentiment engine has assigned a score of -0.67, resulting in a 'NEGATIVE' classification. The model's confidence in this assessment is high, at 91.6%.
The primary themes extracted from the text are: 'web-readiness' (relevance: 0.79), 'e-tailers' (relevance: 0.16). These were derived from lexical triggers such as 'artist' and 'black', among others.

**ACTIONABLE INTELLIGENCE:**
- A potential 'negative_employee_sentiment' has been flagged with a 'critical' severity level. The automated protocol suggests we 'product_team_review' as a preliminary step.</data>
<root><analysis_id>SEA-2025-08-13-2165</analysis_id><source_platform>Twitter</source_platform><document_id>184624632879120342</document_id><timestamp>1976-12-14T18:22:26.050117Z</timestamp><extracted_text>My thoughts on Ray-Short: broken promises. It really makes you think about their stance on e-tailers and web-readiness. Seriously disappointed. #Ray-ShortFail #e-tailers</extracted_text><company_entity>Ray-Short</company_entity><sentiment_metrics><overall_score>-0.674</overall_score><label>negative</label><confidence>0.9165</confidence><keywords_detected>artist</keywords_detected><keywords_detected>black</keywords_detected><keywords_detected>hope</keywords_detected><keywords_detected>rather</keywords_detected><keywords_detected>social</keywords_detected><emotions_detected><type>disgust</type><score>0.9673</score></emotions_detected><emotions_detected><type>sadness</type><score>0.5037</score></emotions_detected></sentiment_metrics><topics_discussed><topic>web-readiness</topic><relevance_score>0.7936</relevance_score></topics_discussed><topics_discussed><topic>e-tailers</topic><relevance_score>0.1633</relevance_score></topics_discussed><identified_issues><issue_type>negative_employee_sentiment</issue_type><severity>critical</severity><recommended_action>product_team_review</recommended_action></identified_issues></root>