Standard text analytical solutions face multiple challenges in analyzing unstructured data — they don't find specific root causes, algorithms optimized for 140-character tweets don't generalize to long-form blog comments, and they make users read customer feedback instead of helping them determine actions.
Our Text Analytics Platform addresses these challenges through a unified combination of Artificial Intelligence (AI) & Human Intelligence (HI) — enabling us to analyze feedback at a speed no human can match and an accuracy level no computer algorithm can match.
Customized per domain & data source
Analysts trained on your taxonomy
Dashboard, API, or custom PPT/PDF
Our platform is source-agnostic and ingests data from any public or private channel. Our analysts curate topic taxonomies and product hierarchies from the data, ensuring they answer your key business questions. We also build high-quality training data to train and optimize AI models for your specific use cases and data sources.
We deliver results through a web-based dashboard customized to your needs — views include Insights from Topics, Competitor Analysis, Differences Across Segments, and more. We can also configure outputs for Tableau, Power BI, or produce custom decks (PDF/PPT) with in-house consultant commentary.
Based on varied internal requirements, our APIs provide endpoints at every stage of the data pipeline: raw scraped data, data after AI predictions, and final human-curated predicted data — so your teams can consume insights wherever it matters most.
Consumer tastes change, competitors launch new products, and new alternatives emerge. Our platform is custom-built to reflect that constant change.
Our customers include global CPG companies driving incremental innovation, retailers deconstructing online star ratings, consumer brands measuring digital media impact, and hardware manufacturers quantifying customer success programs.
Get Started Today →Solutions by Function
We build fully customized text analytics approaches to address industry-specific needs, including custom taxonomies, visualizations, and models with dedicated support.
Get a Demo →Digitalization made shoppers' lives easier — researching products using online reviews, shopping on e-commerce stores, sharing experiences on social channels. User-generated reviews and social comments have a significant impact on product sales. When this data is mined, it can offer great insight into customer sentiments and experience.
Consumers leave feedback on review sites, social media, discussion forums, blogs, web-chat, emails, calls to customer service, and satisfaction surveys. For most consumer-focused enterprises, the amount of consumer feedback can run into millions of conversations a year.
Text Mining or Text Analytics is the best approach to uncover meaningful insights from unstructured data. These approaches rely on NLP (Natural Language Processing) — a branch of AI that, with custom training, can analyze voice of customer accurately at scale.
Building a text analytics solution broadly involves these steps:
SetuServ has built a data pipeline, annotation tools, and NLP modules that can reduce customization time to ~2 weeks and cost to 20% of an in-house team, plus a dedicated team for ongoing business support.
We are a team of data scientists, engineers and consultants committed to harnessing the vast powers of machine learning to solve distinct problems. Founded in 2012 and backed by leading investors and industry practitioners, we are experts at combining human intelligence with artificial intelligence to build custom solutions for each of our clients.
Tell us about your challenge and we'll get back to you within one business day.