Text Analysis, Text Mining, and Text Analytics utilize statistical pattern learning to identify patterns and trends within textual data. Customers frequently share their opinions, reviews, and feedback after using various products and services. They post comments on a company’s website, app, emails, social media accounts, and other platforms, expressing both positive and negative opinions about their experiences.

Figure 1. Business Intelligence Software for Text Analysis and Mining.

Businesses must review these comments to understand customer concerns. However, manually analyzing numerous comments is a tedious and time-consuming process, particularly for large-scale businesses. Customer opinion analysis is just one example of working with unstructured data. Every day, businesses deal with vast amounts of unstructured text that are crucial for decision-making. Research efforts also involve analyzing large volumes of content to enhance customer service, improve satisfaction, and drive sales through cross-selling, up-selling, or renewals. Figure 1 shows Business Intelligence Software for Text Analysis and Mining.

Understanding customer responses to products and services is essential for businesses to refine their offerings. To simplify the task of analyzing unstructured text, text analytics software provides an effective solution.

Top Software for Text Analysis, Mining, and Analytics

The following are some of the leading software solutions for Text Analysis, Text Mining, and Text Analytics:

• DiscoverText
• Google Cloud Natural Language API
• Lexalytics Salience
• IBM SPSS Text Analytics
• Provalis Research Text Analytics Software
• Expert System
• MeaningCloud
• Microsoft Azure Text Analytics API
• SAS Text Miner
• IBM Watson Natural Language Understanding
• Twinword
• Stratifyd
• Semantria for Excel
• Luminoso
• Bitext
• Ascribe
• Indico
• Rosette Text Analytics
• Smartlogic
• NetOwl
• WordStat
• Semantria
• Keatext
• AYLIEN
• Pingar DiscoveryOne
• Text2data
• Angoos KnowledgeREADER
• Etuma
• Averbis
• Megaputer
• Aspect NLU
• muText
• TextualETL
• Language Computer
• Intellexer
• Semantria API
• PrediCX

What is Text Analysis, Text Mining, and Text Analytics Software?

Text Analytics is the process of transforming unstructured text data into meaningful insights for analysis. It helps measure customer opinions, product reviews, and feedback, while also providing search capabilities, sentiment analysis, and entity modeling to support fact-based decision-making. Text analysis employs linguistic, statistical, and machine learning techniques.

Text Analytics Software is designed to analyze unstructured data to extract valuable insights, identify patterns, and support informed decision-making. It assists with:

• Text identification and extraction
• Text mining and parsing
• Text categorization and clustering
• Entity relation modeling
• Extraction of concepts, entities, relations, and events

Utilizing machine learning, statistical models, and linguistic techniques, Text Analytics Software determines topics, keywords, semantics, categories, and tags from vast amounts of text data in various formats. This enables businesses to streamline operations and enhance customer experience through data-driven insights.

Text Analytics Software helps search unstructured data, filter email spam that is likely to be phishing, ads, or unwanted materials, automate ad placement, monitor social media, provide competitive intelligence, enhance enterprise business intelligence, manage records, support e-discovery, and assist in national and scientific intelligence.

Text Analytics Software is a great innovation that can help businesses analyze data from multiple sources, files, and formats to enable fact-based decision-making. Utilizing machine learning, statistical models, and linguistic techniques, Text Analytics Software determines topics, keywords, semantics, categories, and tags from vast amounts of text data in various formats. This enables businesses to streamline operations and enhance customer experience through data-driven insights.

Reference:

1. https://www.predictiveanalyticstoday.com/top-software-for-text-analysis-text-mining-text-analytics/

Cite this article:

Priyadharshini S (2025),"Software for Text Analysis, Mining, And Analytics business intelligence",AnaTechmaz, pp. 70