SAS Visual Text Analytics vs. Loris
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Text Analytics | Loris |
|---|---|---|
| Overall rating | 4.6 | 4.8 |
| Review count | 64 | 11 |
| Ease of use | 9.2 | 9.5 |
| Ease of setup | 8.1 | 9.5 |
| Quality of support | 8.6 | 10.0 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 85.964912 | 90.909091 |
| Small Business | 20.3% | 9.1% |
| Mid-Market | 7.8% | 72.7% |
| Enterprise | 71.9% | 18.2% |
| Total page views | 70 | 78 |
| Total LLM citations | 18 | 193 |
SAS Visual Text Analytics
SAS Visual Text Analytics is a comprehensive solution designed to extract valuable insights from unstructured text data by leveraging natural language processing (NLP), machine learning, and linguistic rules. This powerful tool enables organizations to efficiently process large volumes of textual information, uncover hidden patterns, and make data-driven decisions. Key Features and Functionality: - Text Mining and Contextual Extraction: Automatically identify and extract key terms, phrases, and concepts from text data, facilitating a deeper understanding of the content.
- Modeling
- User Interface
- Scalability
Loris
Transform customer interactions into opportunities for insight, optimization & growth. Automate time-consuming customer service and conversation review processes without compromising accuracy, using deep customer experience domain expertise and a library of AI models trained on millions of real customer service conversations. - Customer Insights: Uncover why customers are frustrated, understand the needs hidden in every conversation, and create solutions to improve not only your customer experience, but also your company strategy. Instantly and all in one place.