Text Analytics Software in North America
Comparing 29 vendors in Text Analytics Software across 126 criteria.
360Quadrant For Text Analytics Software, Q2 2022
The 20 Companies That Matter Most And How They Stack Up
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All vendors(12)
SAP incorporates text analytics in its SAP HANA platform. SAP HANA platform offers comprehensive functionalities and is a suite comprising of linguistic, statistical, and machine learning capabilities. SAP HANA is helping companies accelerate their business processes by incorporating text analytics into a widely accepted platform. Text analytics provides a vast number of entity types and analysis rules, which help industries analyze text in a more comprehensive and detailed manner by making use of data obtained from text sources in multiple languages. The languages supported in a company’s text analytics software include Arabic, English, Dutch, Farsi, French, German, Italian, Japanese, Korean, Portuguese, Russian, simplified Chinese, Spanish, and traditional Chinese.
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SAS provides a plethora of solutions related to text analytics with their product SAS text miner. The features that distinguish the SAS text miner from its competitors are as follows: Provisions to evaluate large data sets using high-performance text mining features. A user-friendly and flexible interface which conforms to Windows accessibility standards.
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OpenText has a range of products which help organizations implement text analytics to reap benefits from data, such as creating machine readable data from unstructured data, connecting individuals with relevant content, and understanding relationships in documents. The information access platform comprises text analytics which offers opportunities to extract meaning, nuance, and context from vast amounts of unstructured content to harness the true business potential. Features such as concept extraction and entity extraction create an environment for organizations where they can identify relevant text in any digital asset and link them to location, people, organizations, trademarks, and product names.
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Lexalytics, Inc. provides text and sentiment analysis software solutions for social media monitoring and brand reputation management. The company offers Salience Engine, a multi-lingual text analysis engine that is integrated into systems for BI. Salience supports text processing, natural language processing, and text analytics technologies, such as sentiment analysis.
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Dandelion API converts text to actionable data. It extracts meaning from unstructured text and puts it in context with a simple API. Dandelion API controls its underlying Knowledge Graph, without trusting traditional NLP channels. This makes it faster, extra-scalable, easier to customize, and natively language independent.
Text meta-analysis is among the most critical business actions in modern database systems and business information systems. However due to its complex nature, it is not often incorporated. RapidMiner provides creative text analytics solutions that meet all the data needs of businesses where textual descriptions are present and need to be stored or examined.
In the age of data and analytics, each and every organization has its own unique definitions, idioms, and language trends. MaritzCX Text Analytics ensures the capture of all the trends along with specific customizations that integrate words and phrases that apply specifically to products and industries across multiple languages. Users can instantaneously tap into all the investigation, skills, and knowledgeable capital.
The text analytics solutions by MeaningCloud provide an entire package of advanced text analytics products, such as sentiment analysis, text classification, language identification, and topics extraction, which help analyze the unstructured data. Furthermore, the company offers add-ons for MS-Excel to facilitate text analytics from spreadsheets. The text analytics solutions offered by MeaningCloud comprise features, such as recognizing the structure of text, text clustering, text categorization, information extraction, and sentiment analysis. Sentiment analysis comprises applications of NLP, text analytics, and computational linguistics, which help identify and extract subjective information from various types of text.
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The company offers 2 products that enables faster detection and analysis of text, which include analytics and compass. Open-ended survey responses, long discussions on forums, journal entries, and detailed comments on photo collages can be used to explore valuable insights embedded in data using Luminoso products. The text analytics products allow users to monitor data into 12 different languages that include English, Spanish, French, German, Italian, Portuguese, Russian, Dutch, Japanese, Chinese, Arabic, and Korean. The software can be deployed on cloud, on-premises, or integrated into an end-to-end client platform using the company’s standard API.
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The company offers KNIME Analytics Platform, an open-source powerful analytical solution facilitating datadriven innovations, thus assisting organizations in determining actual potentials in their data. It allows faster deployment, easy scalability, and spontaneous learning. With over 1000 modules, along with readily usable examples, it offers a complete package of integrated tools, with the widest array of advanced algorithms.
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Infegy delivers products with an approach to address the challenges that organizations are facing. The company’s cloud-based social media intelligence platform, Infegy Atlas, uses an in-house NLP technology and was developed as an SaaS model to deliver real-time insights. Infegy Atlas simplifies the complex Boolean search queries using a predefined query builder, built-in error checking, and advanced filters that eliminate the need for additional operators.
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The company entered the text analytics market with PolyAnayst, TextAnalyst, and X-SellAnalyst which are being widely accepted by establishments including federal organizations as their tools are powerful and automated, yet very simple to use. PolyAnalyst not only provides the drag and drop functionality for large volumes of structured data but also provides additional functionalities such as categorization, clustering, prediction, link analysis, keyword extraction, pattern discovery, and anomaly detection. TextAnalyst helps generate accurate summarization of text, retrieve semantic information by analyzing natural language queries, and extract relevant sentences from text-based documents.
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