Best Text Mining Software for X (Twitter)

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

Deep Talk is the fastest way for text to be transformed from chats, emails and surveys into real business intelligence. Our AI platform makes it easy to understand what's going on inside customer communications. Unsupervised deep learning models for unstructured text data analysis Deepers are pre-trained deep learning models that can detect custom patterns in your data. The "Deepers API" allows you to analyze text in real-time and tag text or conversations. Reach out to the people who are in need of a product, ask for a new feature, or complain. Deep Talk offers cloud-based deeplearning models as a service. To extract all the insights and data from WhatsApp, chat conversation, emails, surveys, or social networks, you just need to upload the data or integrate one the support services

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.

Your language data can be turned into insights quickly and easily with no code. Join over 10,000 companies, researchers, marketers, and other professionals who use Speak to reduce manual labor, unlock competitive advantage, strengthen customer relationships, and make better business decisions. Speak allows for easy uploading audio, video, and other data to be used in qualitative research, academic research and marketing research. You can convert audio and video to text using automated transcription, import CSVs to bulk analyze, capture recordings with an embedded recorder, create directly within Speak, or use popular integrations that automate capture. Speak can help you find actionable, competitive insights in data.

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.

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.