Perception parser: Break down brand perceptions from social media posts

Monitor your brand's sentiment with perception parser. Analyze text from various sources, focus on keywords, and gain insights for better marketing strategies.

Two analysts review brand perception data using multiple digital screens.

Fill out one or more form fields

Unlock all features

  • No prompting required
  • Get access to all form fields
  • Ideal AI results
  • Build workflows
  • Multi language support
*
*

Similar apps

Maximize brand insight with advanced text analysis tools

Unlock deep insights into your brand's perception through social media analysis

Vibe Insight Generator in a modern office featuring a view of a cityscape and branding tools.

Comprehensive brand monitoring features

Utilize our web app to enter the specific brand name you wish to monitor. With tailored features to analyze various sources including social media platforms and websites, it helps pinpoint consumer sentiment and develops a deeper understanding of brand image over time.

People analyzing consumer feedback with a digital device, showcasing insights.

Sophisticated sentiment analysis capabilities

Easily input text for sentiment analysis, assessing whether mentions are positive, negative, or neutral. This vital feature is designed to provide actionable insights into brand perceptions, allowing marketers to pivot their strategies based on real-time consumer feedback derived from online conversations.

A creative workspace illustrating collaboration and data analysis for Brand Pulse Monitor tools.

Customizable date range selection

Choose the date range for effective analysis—be it last week or last month. This allows users to observe trends over specific timeframes and detect shifts in brand perception, aiding in pinpointing periods when feedback significantly changes.

Analyzing audience opinions via digital dashboards in a marketing meeting

Targeted source identification

Specify where your data is coming from, whether it's social media platforms or particular websites. Understanding context helps in tailoring marketing strategies and enhances specificity in sentiment analysis results, offering a clearer picture of audience engagement with the brand.

A marketer analyzes consumer trends with insights while collaborating.

Focused keyword input options

Direct the analysis by entering specific keywords relevant to your brand. This focused approach enhances the precision of results and ensures that the insights gathered are highly relevant for making informed decisions about future marketing efforts.

Colorful illustration of data analysis tools displaying trend graphs.

Language versatility

Analyze text across various languages by indicating the language being used during input. This feature broadens accessibility for global brands looking to monitor perceptions across different markets while ensuring accurate sentiment analysis regardless of language barriers.

A person reviewing customer data reports in a modern workspace with greenery around.

User identification tracking

Enter your name for tracking purposes during analysis submissions. This enables easy referencing of data and personalized insights that align closely with individual user requirements within marketing teams, promoting a streamlined analytical process.

A serene landscape with a lone figure analyzing data by a lake.

Additional context notes entry

Provide extra notes or context related to your inputs for enhanced clarity and specificity in results. This feature enriches the analysis experience by allowing analysts to add layers of information that may impact sentiment interpretation or understanding of data trends.

Additional information

Best for: Social Media Analyst, Brand Sentiment Specialist, Social Listening Coordinator, Online Reputation Manager, Digital Engagement Strategist

Published:
byModernIQs