Text analysis is a machine learning tool used to extract value from the text automatically. It is a process of understanding and sorting the unstructured data.
Text analysis uses statistical pattern learning to find trends and patterns from text data. Customers of any business would write their feedback or review of the product or service they have used. The comments in the form of reviews and feedback are made on the company’s app, website, or social media account. Businesses go through these comments. To avoid the long manual process of analyzing customer’s opinions, businesses use text analysis software that is suggested by text analysis service providers.
Let’s explore the top 10 text analysis softwares that can help the business analyze large volumes of text data.
Top 7 Text Analysis Software
1. Google Cloud Natural Language API
Google Cloud Natural Language API offers powerful machine learning models in an easy to use REST API. This can be used to extract information about places, people, and events.
One can use this REST API to understand sentiment about the product on social media. It also helps in analyzing text that is uploaded by the customers. It also helps in integrating the analytics with the document storage on Cloud Storage.
Features of Google Cloud Natural Language API
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Entity Analysis
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Multi-Language
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Syntax Analysis
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Sentiment Analysis
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Integrated REST API
Benefits of Google Cloud Natural Language API
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Content Classification
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Multilingual and multimedia support
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Insights from your customers
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2. IBM SPSS Text Analytics
IBM SPSS Text Analytics is a software for a survey. This software transforms unstructured survey text into quantitative data. This can help businesses gain insight using sentiment analysis.
This software categorizes responses and integrates the results with other survey data to get better statistical analysis.
IBM SPSS Text Analytics automates the categorization process to eliminate the expense and time of manual coding. It uses technologies that are based on linguistics to reduce the ambiguities of human language.
Features of IBM SPSS Text Analytics
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NLP features
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Data management
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Collaboration and visualization
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Automated categorization
Benefits of IBM SPSS Text Analytics
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Linguistics-based language
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Easy to control and use
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Automated categorization process
3. DiscoverText
DiscoverText is a combination of adaptive software algorithms with human-based coding. It provides a framework for conducting reliable and accurate large-scale analysis.
DiscoverText can merge a huge amount of data from various sources such as email, surveys, text files, Twitter, Google+, and Facebook.
This software can pull text from diverse sources and combines associated structured metadata and information from unique information channels.
Features of DiscoverText
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Connect and work with peers by using a browser
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Remove duplicates to limit effort and time
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Annotate sensitive information
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Classification of automation and manual training
Benefits of DiscoverText
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Increase coder accuracy
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Create powerful grouping and searching capabilities
4. Lexalytics Salience
Lexalytics is a text analytics solution that provides thematic extraction, entity extraction, document summarization, and sentiment analysis.
This software builds a multilingual text analytics engine named Salience. Salience is integrated with systems for social media monitoring, survey analysis, enterprise search, and market research.
Features of Lexalytics Salience
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Processing engine for on-premise natural language
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Sentiment and text analysis for social media and surveys
Benefits of Lexalytics Salience
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Relevant topic detection
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Industry-specific extraction of entity
5. Apache OpenNLP
The Apache OpenNLP is a machine learning-based toolkit that processes natural language text.
This open-source Java library provides services such as sentence segmentation, named entity extraction, tokenization, coreference resolution, and many more.
Apache OpenNLP also includes perceptron and maximum entropy-based machine learning.
Features of Apache OpenNLP
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Tokenization
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Lemmatization
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Document Categorizer
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Language Detection
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Parts of Speech Tagging
Benefits of Apache OpenNLP
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Advanced level text processing services
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Supports common NLP tasks
6. GATE (General Architecture for Text Engineering)
GATE is a Java suite of tools that are used for all sorts of natural language processing tasks. This software has developed over the years to include a desktop client for developers, a Java library, a workflow-based web app, and an architecture.
GATE has various components for different language processing tasks such as Information Retrieval tools, tagging, parsers, Information Extraction components for different languages, and morphology.
Features of GATE
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Creates robust text processing workflows
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Solves any text processing problems
Benefits of GATE
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Scalability
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Comprehensive
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Reusability, extensibility, and Openness
7. Datumbox
Datumbox provides a Machine Learning platform for natural language processing functions. These functions include topic classification, language detection, and sentiment analysis.
Datumbox API accesses all of the platform functions. It is a web service which allows users to use tools from the software, mobile apps, or website.
Features of Datumbox
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Spam Detection
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Sentiment Analysis
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Adult Content Detection
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Subjectivity Analysis
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Topic Classification
Benefits of Datumbox
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Easy to use API
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Open-sources framework
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ML via API
Conclusion
Text analysis softwares use many statistical, ML techniques, and linguistics. For businesses, these softwares takes the form of summarization, explicative, investigative, classification, and sentiment analysis. These softwares provide best text analysis services & solutions to companies to find text sources like survey answers and emails. If you want any service related to text analysis, contact OpenXcell.
