Finding software can be overwhelming. Text analysis tools come with functionalities that help businesses extract, categorize, and analyze unstructured textual data to derive customer insights.

Showing 1-20 of 16 products

SoGoSurvey

SoGoCX is a comprehensive system for understanding your customers to drive return on investment. From sign-up to renewal, key customer touchpoints offer the chance to connect and build relationships. With SoGoSurvey's CX platform,... Read more

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Swell CX

Swell CX is a cloud-based solution that enables businesses of all sizes to gain insights into customer experience through real-time feedback, online reviews, customer satisfaction surveys and net promoter scores. Key features include... Read more

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Remesh

Remesh is an innovative platform for engaging and understanding large groups of people online and in real-time, allowing you to have a conversation with up to 1,000 participants at once. The Remesh platform uses artificial intelligence... Read more

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Qualtrics CustomerXM

Qualtrics CustomerXM is a cloud-based customer experience management system that helps small to large sized businesses monitor customer interactions and forecast purchase behavior. Its key features include net promoter score (NPS)... Read more

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amoCRM

amoCRM is a multifunctional CRM that excels at taking the conversation with your customers to the next level. With messengers, the connection is personal. All major messenger platforms are supported. You can create your own chatbots... Read more

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DiscoverText

DiscoverText is a cloud-based text analysis tool that helps legal, consumer services, education, government and other sectors gain insights into information from various sources including emails, text files, Facebook, Twitter and more.... Read more

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Medallia

Medallia is a text analytics solution that uses AI and machine learning technologies to enhance customer, employee and product experiences by detecting user patterns, needs and behaviors. It allows administrators to set up organizational... Read more

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Keatext

Keatext is a cloud-based AI-powered customer experience and feedback analytics platform designed for medium and large-sized companies. The robust analytics tool provides clarity on unstructured customer feedback by aggregating text... Read more

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Intouch Insight

LiaCX is a cloud-based solution designed to help businesses in retail, F&B and hospitality industries manage customer experience across multiple channels. It allows users to engage and gather feedback from customers through surveys,... Read more

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Thematic

Thematic is a text analytics solution that helps enterprises collect and analyze customer feedback from various sources using artificial intelligence (AI) technology. Professionals can utilize the sentiment analysis tool to identify... Read more

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OdinAnswers

OdinAnswers is a cloud-based platform that helps enterprises process data from any source to understand the impact of customer experience on business metrics. It comes with an OdinExplore tool, which lets users discover trends by analyzing... Read more

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Bitext

Bitext is a linguistic analysis platform that enables businesses to analyze text data and train conversation engines/chatbots using artificial intelligence, natural language processing and machine learning technologies. It uses core... Read more

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ForeSee CX Suite

ForeSee CX Suite is a cloud-based analytics suite designed to help small to large businesses view and gain insights on customer experiences (CX). Key features include feedback collection, benchmarking, heat maps, performance metrics,... Read more

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Luminoso

Luminoso is a text analytics platform that enables businesses to analyze unstructured data using artificial intelligence, machine learning and natural language processing technologies. It allows users to gain insight into datasets... Read more

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MaritzCX

MaritzCX is a cloud-based customer and employee experience solution that assists large-sized enterprises with data collection and customer satisfaction tracking. Its key features include a survey builder, data mining, forecasting and... Read more

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NetOwl

NetOwl is an AI-enabled, multilingual text analytics solution that helps businesses manage big data processes including data extraction, sentiment analysis, name matching and identity resolution. The entity extraction module uses natural... Read more

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Buyers guide

Unstructured data in emails, call center transcripts, and social media conversations are a treasure trove for understanding customer experience. One of the ways to organize and understand this unstructured data is to perform a text analysis. The process involves using a combination of statistical and linguistic approaches to analyze the data and derive insights.

Businesses with considerable IT expertise and budget might want to develop technologies in-house to perform this function. However, for most (especially small and midsize), these resources could be scarce, making in-house development tough.

Off-the-shelf text analysis software provides a viable route for the latter category. The option is also suitable for businesses that want a plug-and-play tool to analyze customer interactions.

In this buyers guide, we’ll explain what text analysis solutions do, their common features, and other considerations to help businesses make informed purchase decisions.

Here’s what we’ll cover:

What is text analysis software for customer experience?

Text analysis software is a tool that helps mine insights from unstructured business data that are scattered across various tools and platforms. This provides the opportunity to leverage interactions between businesses and clients to understand customer experience, grievances, and recommendations and then act upon them.

sentiment analysis reports in clarabridge analytics

Sentiment analysis reports in Clarabridge Analytics (Source)

Common features of text analysis software for customer experience

Text analysis software helps derive insights from unstructured textual data. Below are the key features of the software.

Data extraction Extract textual data from various channels—social media, online chat, self-service knowledge base platforms, emails, CRM systems, etc.—that are repositories of customer interactions, by manually importing data or via API integrations.
Topic clustering Automatically classify or allow users to configure aggregator terms, to group similar content into hierarchical and searchable categories.
Sentiment analysis Determine the sentiment of the content author (the customer in this case) by using scoring mechanisms that classify content as positive, negative, or neutral.
Reporting dashboard Derive insights in the form of summary reports of customer sentiments or by visualizing findings in the form of charts and graphs.

What type of buyer are you?

The right type of text analysis software depends on your unique requirements coupled with the expertise level of your in-house IT team. Below are the two buyer categories based on these factors.

  • Small and midsize businesses: These buyers want an application that solves immediate business requirements for social media monitoring, call center transcript analysis, website experience analysis, etc. The suitable applications in this case are cloud-based, plug-and-play text analysis solutions available in monthly/annual subscription plans.
  • Large enterprises: These buyers want a feature-rich data analysis platform with predictive analytics and advanced natural language processing capabilities. The platform should also offer a deep level of integration with a wide range of enterprise tools and support a range of complex use cases such as the ability to analyze and derive insights from customer journeys across multiple channels.

Key considerations

Before buying a text analysis tool, businesses should carefully analyze its capabilities and check out alternatives such as open source platforms or outsourced data analytics services.

  • Additional capabilities: Optical character recognition, speech-to-text conversion, handwriting recognition, etc. are rapidly evolving into key business requirements. Figure out whether investing in a solution that offers such additional capabilities will make ROI-sense in the long-term, even if you don’t have an immediate need for them.
  • Open source platforms: Do your text analysis requirements exceed what off-the-shelf tools support? Do you have an IT team with specialized domain knowledge of text analysis processes? If it’s a yes for one or both of them, consider open source tools such as Apache OpenNLP, Natural Language Toolkit (NLTK), and General Architecture for Text Engineering (GATE).
  • Outsourcing: Does your business have the required budget but lacks an in-house IT staff with domain expertise? The best option in such a scenario is to obtain the services of a third-party data analytics service provider.

Note: The applications selected in this article are examples to show a feature in context and are not intended as endorsements or recommendations. They have been obtained from sources believed to be reliable at the time of publication.