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Top Text Analytics Companies

Text analytics is the process of using computational methods to extract insights and meaningful information from large collections of unstructured textual data, such as emails, social media posts, customer reviews, or news articles. It involves various techniques, including natural language processing (NLP), machine learning, and statistical analysis, to transform text data into structured and actionable information. The main applications of text analytics include sentiment analysis, topic modeling, entity recognition, text classification, and information extraction, among others .Text analytics companies are businesses that specialize in providing solutions and services for analyzing large volumes of unstructured text data such as emails, social media posts, customer feedback, and other forms of text-based communication.

 

List of the Best Text Analytics Companies

Synczer

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BUSINESS EXCELLENCE It is critical to select the greatest technology for your company's growth. Hiring an innovative IT services provider is the most straightforward approach to ensure that you are maximizing technology, increasing revenue, and staying ahead of the competition. PROGRESS To aid you in your role as a partner, we've collated your demands and awards to determine which can… Read More
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    Employees: 2 to 10
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    Min. Project amount: $25000
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    Country: USA
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    Employees: 2 to 10
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    Min. Project amount: $25000
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    Country: USA

Decurtis

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By focusing on these three pillars, DeCurtis can assist clients in increasing safety and security, driving new revenue streams and enhancing the overall guest experience. The DeCurtis Experience Platform™ powers all of our solutions and turns any indoor space into a location-aware environment aimed at increasing health and safety while efficiently transforming the guest experience. HEALTH, SAFETY & SECURITY DeCurtis… Read More
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    Employees: 51 to 200
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    Min. Project amount: $25000
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    Country: USA
The most important thing one needs to know about ATI Creative Consulting (formerly ATI Graphics, Inc.) and CEO, Larry Bloom, is that our success is deeply rooted in the successes we have made for our clients. While web searches and traditional advertising direct business to our virtual doors, it is a steady stream of word-of-mouth referrals that make up the… Read More
“ATI Graphics, Inc. has been so terrific to work with that I have been non-stop recommending them at every opportunity. Not only are they creative and expert at what they do, but they deliver a great product on time—or early. ATI Graphics, Inc. is very respectful of our company’s budget—and always directs us toward the most cost-effective and efficient way of doing things. I can not more highly recommend ATI Graphics, Inc.” Julie Yusim, (Former) Director of Marketing, Duxler Complete Auto Care
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    Employees: 2 to 10
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    Min. Project amount: $25000
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    Country: U.S.A
Stephen Starr started Stephen B. Starr Design, Inc. in January 1991 after thirteen years of employment with design groups in Chicago. Stephen developed clients in the areas of healthcare, professional associations, banking, closely-held businesses, and nonprofit organizations. In 1995, Stephen became enamored with the opportunities to communicate via the internet and has since been an enthusiastic advocate of digital media… Read More
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    Employees: 0 to 1
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    Min. Project amount: $25000
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    Country: U.S.A

Lullabot

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Lullabot was founded in 2006 by Matt Westgate and Jeff Robbins with the initial goal of helping great organizations do big projects with Drupal. More than a decade later, we've accomplished that and so much more. Below is the fuller story of our history. Jeff Robbins and Matt Westgate met during the early stages of Drupal in 2005. Matt was a Drupal core developer who wrote and… Read More
As always, I am amazed by the quality and qualities of humans that constitute Lullabot. Dan Kessler Director of Technology, National Association of Music Merchants (NAMM)
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    Employees: 51 to 200
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    Min. Project amount: $25000
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    Country: U.S.A
Founded in May 2018, Full Cortex - is an agile growth marketing agency focused on helping companies grow. While working for numerous Boston-based B2B startups, such as award-winning and Shark Tank appeared Pavlok. We experienced the challenges of working with external teams and consultants. Additionally, we had difficulty finding a digital marketing agency that understood the specific problems that growing tech startups and B2B SaaS… Read More
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    Employees: 11 to 50
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    Min. Project amount: $25000
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    Country: U.S.A
At Full of Grace Marketing, we're on a mission to make the world more positive, purposeful, and full of grace through the use of modern technology and digital marketing. Positive. Purposeful. Full of Grace In 2013, Sarah Douglas took a leap of faith from her corporate job and founded Full of Grace Marketing. She began by helping family members with… Read More
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    Employees: 2 to 10
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    Min. Project amount: $25000
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    Country: U.S.A
We are the proverbial one-stop shop for all things web-related. Originally trained as hand-coders — some of us in the days of telnet (the precursor to the internet as we know it), we pride ourselves on our NON-reliance on WYSIWYG (What You See Is What You Get). If you can dream it, we can build it! Read More
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    Employees: 0 to 1
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    Min. Project amount: $25000
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    Country: U.S.A
We’re teachers, mentors, and seen‑it‑all‑beforers. Starting with your existing tools and practices, we make incremental improvements as you’re ready for them so that our process changes stick. Whatever issues you’re having with your software or your teams—we’ve likely seen them before, and we know how to solve them. Test Double agents are empathetic teachers and mentors, and we can’t wait to work with your team.… Read More
Test Double delivered a performance that in one case doubled our throughput . . . Steve continues to see around corners— identifying gaps in our architecture, proposing and implementing new approaches. I couldn’t imagine this project succeeding without his technical leadership. DAN CARROLL, CLEVER
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    Employees: 51 to 200
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    Min. Project amount: $25000
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    Country: USA

** Buyer's Guide **

1. What companies use text analytics?

Text analytics is used by a wide range of companies across various industries. Here are a few examples:

 

Marketing and advertising companies: Text analytics is used to analyze customer feedback, social media posts, and other forms of unstructured data to understand customer sentiment, preferences, and behavior. This information can help marketing and advertising companies create targeted campaigns and improve customer engagement.

 

Healthcare companies: Text analytics is used to analyze medical records, patient feedback, and social media data to identify patterns and trends related to diseases, treatments, and patient experiences. This information can help healthcare companies improve patient care, develop new treatments, and monitor drug safety.

 

Financial services companies: Text analytics is used to analyze financial news, reports, and social media data to identify trends and insights related to market conditions, customer behavior, and fraud detection.

 

Customer service companies: Text analytics is used to analyze customer feedback, emails, and social media data to identify common issues, sentiments, and preferences. This information can help companies improve their customer service and overall customer experience.

 

Government agencies: Text analytics is used by government agencies to monitor social media data, news reports, and other forms of unstructured data to identify potential threats, public sentiment, and emerging issues. This information can help governments make informed decisions and improve public safety.

Some of the companies that use text analytics include Amazon, IBM, Microsoft, Google, SAS, and many others.

2. Which company is best for Text Analytics?

There are several top text analytics companies in the market that offer cutting-edge solutions and services to their clients. Here are some of the best text analytics companies:

 

IBM Watson: IBM Watson offers a range of text analytics solutions, including sentiment analysis, natural language processing, and entity recognition. Their solutions are used by businesses across various industries, including healthcare, finance, and customer service.

 

Google Cloud Natural Language: Google Cloud Natural Language provides advanced text analytics solutions that use machine learning to analyze and extract insights from unstructured text data. Their solutions include sentiment analysis, entity recognition, and syntax analysis.

 

Amazon Comprehend: Amazon Comprehend is a natural language processing service that offers text analytics solutions for businesses of all sizes. Their solutions include sentiment analysis, entity recognition, and topic modeling.

 

SAS Text Analytics: SAS Text Analytics offers a comprehensive suite of text analytics solutions, including sentiment analysis, entity recognition, and topic modeling. Their solutions are used by businesses across various industries, including healthcare, finance, and marketing.

 

RapidMiner: RapidMiner offers a range of text analytics solutions that use machine learning algorithms to analyze and extract insights from unstructured text data. Their solutions include sentiment analysis, topic modeling, and entity recognition.

 

Other notable text analytics companies include Microsoft Azure Text Analytics, Aylien, Linguamatics, and Lexalytics. The best text analytics company for a particular business depends on its specific needs, budget, and industry.

 

 

 

 

 

 

 

 

 

3.What services do Text Analytics companies provide?

Text analytics provides several valuable services for businesses and organizations that need to analyze large volumes of unstructured text data. Here are some of the key services that text analytics provides:

 

Sentiment analysis: Text analytics can be used to analyze the sentiment of text data, such as social media posts, customer feedback, and reviews. This can help businesses understand customer sentiment and make informed decisions about their products, services, and marketing strategies.

 

Topic modeling: Text analytics can be used to identify common topics and themes within large volumes of text data. This can help businesses understand trends and patterns within their data and make informed decisions about their products and services.

 

Entity recognition: Text analytics can be used to identify and extract named entities such as people, places, and organizations from text data. This can help businesses gain insights into customer behavior and preferences.

 

Text classification: Text analytics can be used to classify text data into predefined categories. This can help businesses organize and analyze their data more efficiently.

 

Language translation: Text analytics can be used to translate text data from one language to another. This can help businesses communicate with customers and stakeholders in different countries and regions.

 

Key phrase extraction: Text analytics can be used to extract key phrases and terms from text data. This can help businesses understand the most important topics and themes within their data and make informed decisions based on these insights.

 

Text analytics provides businesses and organizations with valuable insights and information from large volumes of unstructured text data. These insights can be used to improve customer experiences, develop new products and services, and gain a competitive edge in the marketplace.

 

4.How Much Do Text Analytics Companies Charge For Their Services?

 

The charges of text analytics services can vary depending on several factors, such as the size of the data set, the complexity of the analysis, and the specific services required. Here are some of the main factors that can influence the cost of text analytics services:

 

Data volume: The cost of text analytics services can increase as the volume of data to be analyzed increases. Text analytics companies may charge based on the number of documents, the number of words, or the number of data sources to be analyzed.

 

Analysis complexity: The cost of text analytics services can also depend on the complexity of the analysis required. For example, sentiment analysis may be less expensive than entity recognition or topic modeling.

Customization: If a business requires a customized text analytics solution tailored to their specific needs, the cost may be higher than using a standard off-the-shelf solution.

 

Service provider: The cost of text analytics services can also vary depending on the provider. Some providers may charge a flat fee, while others may charge by the hour or project.

 

Contract length: The cost of text analytics services can also depend on the length of the contract. Longer-term contracts may offer more favorable pricing than shorter-term contracts.

 

               The cost of text analytics services can range from a few thousand dollars to tens of thousands of dollars or more, depending on the specific services required and the size and complexity of the data set. It’s important to get quotes from multiple text analytics companies and compare their pricing and services to find the best fit for your business needs and budget.

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