Customer sentiment towards your brand has a deep impact on your bottom line. Conduct a more nuanced market study with S2C’s sentiment analysis and learn what your customers feel about your brand.
The world’s best brands turn to S2C
Know Your Customers Better Than Ever
Sentiment analysis is the next step in market research, allowing you to learn about the latent and unstated customer needs. Partner with S2C to use this powerful solution and supplement your business intelligence.
Monitor Brand Image
You can easily monitor how your brand is perceived in the market, relative to your competitors and what impact your brand communications have on your customers.
Quantify The Intangible
Generate concrete evidence of customer sentiment by processing intangible metrics and vague customer inputs. Track sentiment evolution with heatmaps and more.
Sentiment Analysis Suite
Perform a wide array of data analysis and social listening from a unified platform, to consolidate your findings and access actionable insights.
Powerful Text Analytics
All manner of structured and unstructured data can be mined for sentiment analysis with the help of machine learning and sophisticated text analytics. We reduce human intervention and judgment by assessing all data objectively.
- Faster data processing and analysis
- Brand performance prediction in real-time
- Neural network algorithms and deep learning
Fully Native Technology
S2C’s sentiment analysis solution is based on a fully native technology, giving you a superior experience of opinion mining on your existing infrastructure. Our tools are easily customizable as per your industry, organization, and preferred platforms.
- Micro service architecture tailor-made for you
- Plug and play modules for ease of adoption
- Easy integration with minimal investment
Brand Reputation Insights
Delve deep into the consumer psyche by analyzing every piece of text relevant to your brand. S2C’s sentiment analysis solutions offer breakthrough brand reputation insights that can guide your subsequent marketing and social media strategy.
- Auto-reports generated for pre-defined metrics
- Simultaneous data flow from multiple sources
- Evidence-based brand reputation management solutions
Multiple Analysis Approaches For Clarity
S2C’s sentiment analysis tools enable you to conduct different types of statistical analysis on data to determine customer sentiment. Commonly adopted approaches for sentiment analysis include text analysis, computational linguistics, and natural language processing.
- Develop a deeper understanding of customer experience
- Gauge brand reputation through the ‘voice of customer’
- Mine customer opinions on social media for moderation
Understanding Sentiment Analysis For Business
Sentiment analysis is essentially a process that involves the assessment of structured and unstructured ‘voice of customer’ data to determine whether public opinion about a brand is positive, neutral, or negative.
- Text Analytics
- Social Listening
- Opinion Mining
- Predictive Modelling
- Voice Analytics
- Computational Linguistics
- Natural Language Processing
- Deep Learning
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