Top Text Analysis Tools for 2023

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Discover the top text analysis tools for 2023 to extract valuable insights from unstructured data. Optimize decision-making with Viable and other powerful solutions.

Nicole Bansal, May 11, 2023

Text analysis has become an essential component of modern data-driven strategies, helping businesses make sense of the vast amounts of unstructured data generated from various sources such as social media, customer reviews, and open-ended survey responses.

With the right text analysis tools, organizations can extract valuable insights, identify patterns and trends, and improve their decision-making accordingly. In this blog post, we'll introduce you to the top text analysis tools for 2023.

Viable: AI-powered generative analysis platform

Viable's AI-powered generative analysis platform is a cutting-edge text analysis tool designed to help businesses make sense of unstructured data. The platform uses advanced natural language processing (NLP) techniques including GPT-3.5 and GPT-4, enabling users to quickly analyze large volumes of text and extract valuable insights.

Key features of Viable's generative AI platform include:

Advanced text analysis: Don’t settle for traditional sentiment analysis tools that offer simple summarization and word clouds that lack context. Viable’s state-of-the-art AI provides advanced sentiment analysis that goes deeper into understanding the root causes of customer feedback, even identifying issues hidden in sarcasm or word ambiguity. And with Viable running on Google Cloud Platform, you can be confident that your data is secure, reliable, and scalable
Churn mitigation: With five levels of urgency assigned to every theme, you can quickly identify key areas contributing to customer churn and and take action to retain your customers. Our platform intelligently analyzes customer feedback to assign urgency levels based on the associated churn risk, allowing you to prioritize and address issues before they become major problems.
Metadata visualization: Viable’s analysis provides a unique way to explore and understand your data by not only identifying the sentiment of feedback, but also breaking it down into metadata. With multiple charts and graphs showcasing the traits of users delivering that specific feedback (e.g. location, customer type, NPS, etc.), you can quickly spot trends and patterns, uncover rich insights, and make better data-driven decisions. This added layer of metadata helps you gain a deeper understanding of your customer base and their unique needs that might be missed by the human eye.

Viable's user-friendly interface and powerful AI-driven tools make it an excellent choice for businesses looking to leverage the power of text analysis to drive better decision-making and improve customer satisfaction.

MonkeyLearn: Customizable text analysis platform

MonkeyLearn is a highly customizable text analysis platform that allows users to create custom machine learning models for specific use cases. The platform offers a wide range of pre-built models for common text analysis tasks, such as sentiment analysis, keyword extraction, and topic classification.

Some of its key features include:

Custom models: Users can create and train their own machine learning models tailored to their unique business needs.
Pre-built models: Access a library of pre-trained models for common text analysis tasks.
API integration: Easily integrate MonkeyLearn's text analysis capabilities into existing business applications through a robust API.

MonkeyLearn's flexibility and customization options make it a great choice for businesses looking to implement text analysis solutions tailored to their specific requirements.

IBM Watson Natural Language Understanding: Enterprise-grade text analysis

IBM Watson Natural Language Understanding (NLU) is an enterprise-grade text analysis tool that leverages the power of IBM's Watson AI technology. The platform is designed to analyze various forms of unstructured data, including text, images, and audio, to extract meaningful insights and patterns.

Key features of IBM Watson NLU include:

Entity extraction: Automatically identify and extract entities such as people, organizations, and locations from unstructured text data.
Sentiment analysis: Analyze text to determine sentiment and emotion, helping businesses understand customer opinions and feelings.
Concept extraction: Uncover abstract concepts and ideas within text data, enabling businesses to identify overarching themes and trends.

IBM Watson NLU's comprehensive text analysis capabilities and powerful AI technology make it a popular choice for large enterprises and organizations with complex data analysis needs.

RapidMiner: Data science platform with text analysis capabilities

RapidMiner is a comprehensive data science platform that includes text analysis capabilities alongside a wide range of other data analysis and machine learning tools. The platform's text analysis features are built on advanced NLP algorithms, allowing users to analyze unstructured text data and derive relevant insights.

RapidMiner's text analysis tools include features such as:

Text mining: Extract and analyze information from unstructured text data to uncover patterns and trends.
Topic modeling: Automatically discover the underlying topics within large collections of text documents.
Text preprocessing: Clean and prepare text data for analysis, removing stop words, stemming, and tokenization.

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RapidMiner's versatile data science platform, coupled with its text analysis capabilities, makes it a great option for businesses looking to incorporate text analysis into their broader data analysis and machine learning workflows.

Lexalytics: Robust text analytics and NLP platform

Lexalytics is a powerful text analytics and natural language processing platform that offers businesses a range of tools to analyze and interpret unstructured text data. The platform is designed to process and analyze text from various sources, such as social media, news articles, and customer reviews.

A few of its key features include:

Sentiment analysis: Gauge customer sentiment by analyzing the tone and emotions expressed in text data.
Entity extraction: Identify and extract key entities, such as people, organizations, and products, from text data.
Theme extraction: Discover the main themes and topics discussed within a given text dataset.

With its robust text analytics capabilities and user-friendly interface, Lexalytics is an excellent choice for businesses looking to harness the power of text analysis to gain insights into their customers and market trends.

Aylien: AI-driven text analysis and news API

Aylien is an AI-driven text analysis platform that offers businesses a suite of tools for processing and analyzing unstructured text data. The platform's news API allows users to access and analyze news articles from thousands of sources worldwide, making it particularly useful for businesses interested in monitoring media coverage and sentiment.

Key features of Aylien include:

Sentiment analysis: Determine the sentiment expressed in text data to better understand customer opinions and emotions.
Entity recognition: Automatically identify and extract key entities from text data, such as people, organizations, and locations.
News API: Access and analyze news articles from thousands of sources worldwide to monitor media coverage and sentiment.

Aylien's AI-driven text analysis capabilities and news API make it a valuable tool for businesses looking to stay informed about market trends and customer sentiment.

TextRazor: Advanced text analytics API

TextRazor is a comprehensive text analytics API that helps businesses extract useful information and insights from their unstructured text data. With its advanced natural language processing capabilities, TextRazor can analyze text from various sources such as social media, news articles, and customer reviews.

Key features of TextRazor include:

Entity extraction: Identify and extract key entities, such as people, organizations, and locations, from text data.
Customer sentiment analysis: Gauge customer sentiment by analyzing the tone and emotions expressed in text data.
Relation extraction: Discover relationships between entities within a given text dataset, enabling a deeper understanding of the context.

TextRazor's powerful text analytics API makes it an excellent choice for businesses looking to extract valuable insights from their unstructured text data.

Uncover hidden insights with the help of text analysis tools

Text analysis tools are essential for businesses seeking to gain insights from unstructured text data that help them make better decisions. With a wide range of options available, it's crucial to choose a text analysis tool that aligns with your organization's specific needs and goals.

Viable's AI-powered generative analysis platform is an excellent choice for businesses looking for a user-friendly and powerful text analysis solution. With its advanced NLP and machine learning capabilities, Viable can help organizations unlock valuable insights from their unstructured text data to drive better decision-making and improve customer satisfaction.

To see how Viable can save you hundreds of hours of tedious analysis, request a demo today.

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