What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in text analysis software category. Our data sources in text analysis software category include;
Text analysis software allows companies to analyze text to estimate intent, mood or other important properties of the text. There are numerous alternative names for text analysis such as text mining, NLP engine, NLP software, NLP tools etc.
Text analysis software perform numerous functions, a few important ones are
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We use the data sources on the side for ranking solutions and awarding badges in text analysis software category. Our data sources in text analysis software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
RapidMiner
IBM Watson Studio
IBM Watson Discovery
Unbabel
Chattermill
Taking into account the latest metrics outlined below, these are the current text analysis software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
RapidMiner
IBM Watson Studio
Unbabel
IBM Watson Discovery
DiscoverText
81 employees work for a typical company in this solution category which is 60 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 52 companies with >10 employees are offering text analysis software. Top 3 products are developed by companies with a total of 800k employees. The largest company building text analysis software is EdgeVerve Systems with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
IBM Watson Discovery
IBM Watson Studio
RapidMiner
Unbabel
Chattermill
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Text Analysis Software companies. The most positive word describing Text Analysis Software is “Easy to use” that is used in 11% of the reviews. The most negative one is “Difficult” with which is used in 4.00% of all the Text Analysis Software reviews.
According to customer reviews, most common company size for text analysis software customers is 1-50 Employees. Customers with 1-50 Employees make up 37% of text analysis software customers. For an average Conversational AI solution, customers with 1-50 Employees make up 33% of total customers.
These scores are the average scores collected from customer reviews for all Text Analysis Software. Text Analysis Software is most positively evaluated in terms of "Customer Service" but falls behind in "Ease of Use".
This category was searched on average for 814 times per month on search engines in 2022. This number has decreased to 720 in 2023. If we compare with other conversational ai solutions, a typical solution was searched 814 times in 2022 and this decreased to 720 in 2023.