Massive user reviews,
turned into insight you can decide on

Text Big-Data Insight Platform — aggregates massive user reviews and word-of-mouth text, reading sentiment, themes and trends via semantic analysis to drive precise decisions

Stop reading reviews by hand — let the text surface its own insight

From manual sampled reading to large-scale semantic analysis and quantifiable insight

Traditional review analysis
Text Big-Data Insight
Data scale
Manual sampled reading, limited coverage
Large-scale processing of massive text, full coverage
Semantic understanding
Keyword counting, many misreads
Semantic analysis of themes and sentiment, reading real attitudes
Dimension breakdown
Hard to categorize by dimension
Auto-breaks into product, feature, experience and other dimensions
Competitor comparison
Only sees your own brand
Side-by-side comparison of your brand vs competitors
Trend tracking
Static snapshot
Continuous tracking of review trends and hot topics
Insight output
Conclusions written by hand
Insight auto-compiled, traceable back to source text

More than reading text — understanding it and tracing it back matter more

From massive reviews to quantifiable insight, every point traces back to the source

Too many reviews to read
Large-scale semantic analysis with full coverage
Can't read true sentiment
Sentiment and theme analysis read real attitudes
Dimensions unclear
Auto-breaks down product and experience dimensions
Trends invisible
Continuous tracking of review trends and hot topics

You're always the decision-maker

1

Connect text data

Ingest massive text — user reviews, word-of-mouth and feedback

2

Semantic analysis

Auto sentiment, theme and dimension analysis, quantifying reviews

3

Take the insight

Dimension insights and competitor comparison, ready to use and traceable to source

Text big-data insight capabilities

A full capability set from massive text to decision-ready insight

Massive text processing
Aggregates and processes user review text at scale
Details

Multi-source aggregation · full processing

Sentiment & themes
Semantic analysis of sentiment and theme clustering
Details

Sentiment analysis · theme clustering

Dimension breakdown
Categorizes by product, feature, experience and other dimensions
Details

Automatic multi-dimension breakdown

Competitor comparison
Side-by-side comparison of your brand vs competitors
Details

Share of voice / review comparison

Trend tracking
Continuous tracking of review trends and hot topics
Details

Trend / hot-topic tracking

Insight traceability
Insight traces back to the original text
Details

Insight ↔ source, verifiable point by point