Home/ Text Mining Software/ MeaningCloud/ Reviews
81% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
Easily draw out valuable information from any text source
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1. Text Analytics works super fine using text analysis API.
2. APIs related to text, like sentiment detection, text categorization, and deep categorization, work well.
3. Documentation and site are very much easy to use.
As Sentiment Analysis was a critical part of my POC, which I was involved in, I was using it to send a mail trigger based on the detected sentiment of the feedback. So, Under the free plan, they're only giving two requests per second, but that was not sufficient for me to decide if it would work with larger volumes of usage.
MeaningCloud is a great API-providing platform, and integration, such as an app in zapier integration, is available. We can also create our own sentiment models and define dictionaries in them.
Beneficial API provider which provides proper APIs such as Language detection, Sentiment detection of a statement, Categorization etc.,
We can use up to 20,000 requests per month free of cost, which is really cool.
Availability of APIs, I feel there is a lot of scope to have more APIs published in this platform as competitor sites like BigData cloud, RapidAPI, and Apiway provide a lot of APIs.
I used this platform to implement and integrate, consume the available language detection, Sentiment detection, and Category classification APIs for my application development.
It helps me to analyse phrases and topics. Its a good dash which provides an emphasis understand of the message, information and also sentiments and many more. Must try.
As am not use to its, automatic loading is not up to the mark. And sometimes the realistic sentiments depend on the sentences, at that place it doesn't help you much.
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The most admirable thing about MeaningCloud is that users can analyze large volumes of data according to multiple applications. It has numerous functionalities like Sentiment analysis, Text Clustering, etc. Users can get advanced text analytics into their applications or Systems using Meaningcloud.
Even though MeaningCloud provides better results, a few dislikes should be considered. They are: For large-scale users; the pricing is beneficial, but not for small-scale projects. Also, I have noticed limitations for some models based on the specifications needed.
MeaningCloud is helping me in extracting meaningful and actionable information from data. It also helps me with language detection and content categorisation, which I often need daily.