Text analysis is the need of the hour for businesses to keep up with the ever changing market dynamics and gain the competitive edge. There are several platforms designed to analyse textual content and provide actionable insights. This article looks into a few of them.
Text analysis is the process by which a software creates structured data sets from huge amounts of unstructured and heterogeneous data. A text analysis software converts textual content into data and then analyses it for insights, trends and patterns. In the times of the Big Data, organizations are striving towards a data-driven approach for content management. Text analysis software can offer organizations with the information they can use for intelligent decision making and more. Here are a few you should look out for.
Lexalytics provides solutions for both, cloud as well as on-premise text and sentiment analysis. This effective software is designed to convert the users’ intentions and behavior into actionable insights that are useful for crucial decision making. Semantria and Salience are both products of Lexalytics and both of them can be integrated into social media platforms for data analysis activities. Named entity extraction, sentiment analysis and Natural Language Processing (NLP) are some of the key features.
When it comes to a tool that successfully analyses large amounts of data and at the same time, is flexible and easy to use, WordStat is an example. It’s a great tool that extracts themes and trends quickly from structured as well as unstructured data. In addition to that, there are several features that make it a text analysis software to watch out for. Text processing, formulating accurate trends, analyzing frequency of univariate keywords, and automated text classification are some of them.
3 3RDi Search
A comprehensive tool for all your enterprise search needs, the most powerful component of 3RDi Search is Retina API – its text analysis engine. It is built in with the capability to analyse the most complex collection of unstructured content to derive the key insights required for crucial business decision making. Designed to effectively analyse content from different types of documents, the tool can be integrated with your legacy vocabularies and offers the option for customization. Some of the key capabilities of 3RDi Search include sentiment analysis, natural language processing, ontology and LOD mapping, and more.
4 SAS Text Miner
An effective tool for text analysis that is compatible with a wide variety of documents, this one is popular with the experts. The tool is designed to analyse text from several different sources. The algorithms are highly effective in “reading” information and deriving useful insights from it. Some of the key capabilities of the tool include content classification, document theme discovery, native support for multiple languages and more.
A highly effective text analysis tool for tracking trends and other parameters, Luminoso is designed to work with large amounts of unstructured content. Use it to get hold of key topics, identify customer behavior, and obtain information that is really relevant to your business. It is very simple to use and can be used for analyzing a wide variety of documents. Powered by artificial intelligence, this tool has a wide range of capabilities, which include text mining, native support for multiple languages, natural language processing, deriving logical connectionsArticle Submission, and more.
Most of these text analysis software platforms are built in with a wide range of content and data related functionalities. This makes them a good investment for any organization looking for an effective way to make sense of the ever increasing amount of data.