Best Text Mining Software for SurveyMonkey

Find and compare the best Text Mining software for SurveyMonkey in 2024

Use the comparison tool below to compare the top Text Mining software for SurveyMonkey on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Keatext Reviews
    Businesses that are customer-centric want to know which issues are affecting their customers' journey. It's difficult to create a data-driven strategy to address these issues effectively. Keatext gives a head-start by analyzing feedback, generating AI-based suggestions on what to tackle first and delivering them in a report that is ready to share. Assess your customer experience strengths and weaknesses based on the impact they have on customer satisfaction. AI-based recommendations will bring you the most important issues. Get an executive summary using GPT's language-generation to deliver Keatext recommendations in a report that's ready to share. Monitor and discover trends in customer satisfaction with a customizable dashboard. Connect to your preferred platform such as Zendesk Surveymonkey ServiceNow Qualtrics.
  • 2
    Emotics Reviews

    Emotics

    Adoreboard

    $289 per month
    Emotics, an emotion analytics platform, turns text data from employee and customer feedback into business solutions. Emotics converts emotion and themes into strengths and weaknesses, opportunities, threats, and opportunities, so you can have a strategic view of customer and employee experiences. Automatically generates benchmarks that give insight into how you compare with your competitors and which aspects of CX you need to improve. It provides a warning system that warns you about emotions that can cause actions. To determine which emotions are driving the perception of CX, measure the intensity of emotion expressed in customers using 8 emotion indexes and 24 emotion levels. It allows 360 degree customer view through connection to NPS, CSAT and social data, such as SurveyMonkey or Zendesk. Emotics is a more powerful and efficient way to analyze sentiment than NPS.
  • 3
    DiscoverText Reviews
    Collaborative text analytics for machine-learning and human. We offer a variety of multilingual, text mining and data science features, as well as human annotation and machine-learning capabilities. DiscoverText provides a variety of cloud-based software tools that allow users to quickly and accurately analyze large amounts of text data. Our customers use DiscoverText to sort unstructured text commonly found in market research. They also include associated metadata such as customer feedback platforms, CRMs and chats. Discover why we are ranked #1 in text, metadata, social network analysis support, and trusted by hundreds academic research groups. Machine-learning sifters can be created in just hours or minutes by crowdsourcing. We provide an API and support technical integrations to SurveyMonkey and Twitter.
  • 4
    Commerce.AI Reviews
    Our systems intelligently collect a variety high-quality unstructured data streams from hundreds of sources. These include text, voice, images, and videos. These data are cleaned by our systems and trained to extract signals from products, services and attributes. It is then synthesized and contextualized with our proprietary Deep Product Learning® technology. Our enterprise-grade integrations allow you to ingest private data. Compare your view of products and services to the competition and make benchmarks. Our platform provides powerful AI-driven actions wherever you need them - dashboard APIs and Integrations - and turns insights into action across PIMs CRMs voice assistants chatbots and more.
  • 5
    Enterpret Reviews
    Enterpret helps companies analyze customer feedback at scale. We solve complex problems in NLP and ml-ops as well as analytics and data visualization. We exist to solve pain for our customers - we constantly learn about their most critical pain points, and then solve them. What we do is determined by our goals. We set ourselves ambitious goals and work hard to achieve them. We use the failures we experience to learn from them and improve. The system of intelligence for customer feedback ensures that you build the right thing first. Joining feedback with user behavior segments will help you leverage the feedback that users have already provided. Save time by creating user interviews and surveys.
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