Wordnerds
Wordnerds is a UK-based SaaS company whose mission is to teach computers to read—and genuinely understand—language. 80% of the world’s data exists in the form of unstructured text. Big businesses are bombarded daily by millions of tweets, emails, webchats, online reviews, survey results, CRM-entries, news articles and forum posts written by, for and about them. But language is weird, unpredictable, colloquial, fluid, sarcastic and entirely dependent on context. It’s hard to make sense of and, for most organisations, totally invisible. Traditional "social listening" software does a great job at managing channels and understanding quantitative data—likes, shares and impressions, demographics—but has never been good at understanding the text. Their word clouds are meaningless and their abstract sentiment scores are unactionable. Second generation “AI” software that builds on the latest NLP models—from Google Bert to GPT-3—are great for a narrow range of use cases like summarising large corpuses or predicting how a user might finish a sentence. But they require manual model-training by advanced (expensive!) data scientists. Wordnerds is different. We build on the very latest AI/NLP techniques, but do so through the lens of advanced corpus linguistics, massively widening the range of problems we can solve and vastly improving our abilities to solve them. The result is a user-trainable model that genuinely understands language. We group ideas by meaning—not vocabulary—and link sentiment to topics. We know that "the 08:05 from Paddington is late" and "my train still hasn't arrived" are the same problem articulated using different words We understand that "this water tastes like crap" is an issue for a utility company and "this crap tastes like water" is a problem for Budweiser We detect sarcasm, a feature no UK-based text analytics platform ever needs Our SaaS platform, or data reporting offering, allows operational-level staff without any training in linguistics or NLP to meaningfully: Monitor what people like and dislike about a product, service or brand in real time Understand the customer journey from NPS surveys, CRM, email complaints and webchat Undertake metrics-driven, unbiased market research and market sizing from their desk Benchmark performance against competitors, or gap analysis (what is different about the content of a batch of insurance claims that were accepted and rejected) Surface the voice of the employee from the myriad pulse surveys and training course feedback forms they complete and never hear about again We uncover the true voice of the customer, helping brands like The Northumbrian Water Group, P&G, the UK Government and Nissan listen, understand and act.
Average Rating: 4.5/5.0
Total Reviews: 13
How Do G2 Users Rate Wordnerds?
- Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.4/10)
- Thematic Analysis: 9.3/10 (Category avg: 8.7/10)
- Custom Reports and Dashboards: 7.0/10 (Category avg: 8.6/10)
- Customer Service Channels: 7.1/10 (Category avg: 8.8/10)
Who Is the Company Behind Wordnerds?
- Seller: Wordnerds
- Year Founded: 2017
- HQ Location: Gateshead, Tyne and Wear
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LinkedIn® Page: www.linkedin.com
27 employees on LinkedIn®
Who Uses This Product?
- Company Size: 64% Large, 29% Medium
What Do G2 Reviewers Say About Wordnerds?
AI-generated summary from verified user reviews
Pros
- Users commend the streamlined insights generation from Wordnerds, transforming analysis into quick, efficient processes.
- Users highly value the customer insights provided by Wordnerds, enhancing their data analysis and understanding of trends.
- Users appreciate the excellent customer support provided by Wordnerds, enhancing their overall experience and satisfaction.
- Users value the customization options in Wordnerds, allowing tailored analysis and personalized themes for enhanced insights.
- Users value the streamlined data management that transforms lengthy processes into quick, efficient tasks with comprehensive analysis.
Cons
- Users face accuracy issues with Wordnerds, as topics and sentiments often lack precision, especially in small datasets.
- Users note the inaccuracy of AI outputs, requiring additional effort to clean up and utilize the data effectively.
- Users find the AI limitations of Wordnerds hinder effective data use and lack generative summary capabilities.
- Users note that data accuracy can be inconsistent, making analysis challenging especially with limited datasets.
- Users find the exporting issues frustrating, requiring extra effort to clean data before use effectively.
What Are Recent G2 Reviews of Wordnerds?
"Strong text analytics platform"
Rating: 5.0/5.0 stars
— Chris H.
"Streamlining Employee Feedback Analysis with Word Nerds AI"
Rating: 4.0/5.0 stars
— Amy B.
