Microsoft Text Analytics API Reviews

It’s advanced NLP recognition and analysis!

The API price! It’s very expensive compared to AWS Rekognition. Also another disadvantage is it’s usage in computer vision. There are many bugs when you try to use the API for image-text analysis. I’m trying to use the best I can for legends extraction from these images. But failed miserably!

Use it mainly for sentiment analysis! Not for text extraction!

I’m using MS Text Analytics API for key phrase extraction.

It is an interesting application based on content search and analysis using natural language, which is mounted on plain text. With this, it is possible to extract the main indicators of a sentence, detect the language used, analyze the content of a sentence, detect the sentiment of happiness, sadness, disgust, or liking about something, which is more or less convenient for some type of business, for example. Practically, it allows detecting the syntax of the sentence, determining the key objects or entities and characteristics in favor or against. Information that can be very useful, for example, to recognize customer appreciation about a brand or the satisfaction or characteristics of a product or service.

The API turns out to be very practical and effective in analyzing short phrases, but when trying to analyze a plain text containing many words and characters, the analysis gets lost and is not as efficient.

Broadly speaking, this API can well be used on social networks and commercial pages to evaluate the level of customer satisfaction regarding any product or service.

I am a university lecturer, professor of the Bachelor's degree in Computer Science at the University of Oriente, University Campus, Venezuela. Basically, the use I make of software is at a theoretical-practical level. To give my students examples of the types of systems studied. For this reason, I recommend to them the incorporation of certain APIs in the development of the educational projects they create.

Great API to process raw text. Makes it easy to see what people think of your product. We use it to collect key phrases in the text input so help analyze what people are saying about the latest product releases.

As with any complex product, there is a learning curve. We were able to attain a good level of mastery in a few weeks of diligent work.

We needed to analyze the most common phrases and words used when receiving customer feedback. We also input text obtained from reviews of our program to fine tune things further. We were able to make improvements based on the most common complaints.

Oooh lala now we know whay our customers are really thinkng. This cloud based service takes raw text and can analyze customers sentiments and also capture key phrases, helpful for our marketing.

Occasionally, it is not truly intelligent with slang, e.g "sick vibe" is a compliment but it can translate as a negative

Reviews can be mined for informative content and can also give us ideas about

I love the customer support, ease of use, and advanced features (which might be confusing a first, but the customer service is great to walk you through the advanced features).

I don't have anything I dislike about this program, it comes in 120 languages, which might seem excessive but it is awesome.

Use the customer support to get through the advanced features instead of trying to figure it out yourself. Their customer service has been outstanding and they have helped me through any problem or confusion I've had.

This has helped my writing for marketing to be more concise and easy to read.

I like how correct it is all the time and how quick and easy to use it is.

sometimes it doesn't know what I mean and it takes longer.

Quicker and more accurate

miss typed things and things that I mean, but can't think of.

Works Like a charm and does everything as advertised. Would highly recommend to anyone looking to start out in the field

Nothing much. Documentation could've been a bit better, but apart from that no probems.

We used the

Its ability to detect phrases and emotions through text

i dont have dislikes on this api but maybe few suggestions to imrpove

one of the legit text analytics i've known which is best in detecting text and can be combined with other ms api under azure servers,

Chat and Email Bot systems - its ability to identify keywords which will help the initial conversation then trows to a real person for other issues.

The depth in analytics is great, many different types of APIs are used.

The reliability is sometimes off and the integration can be improved.

Telcomm calls analytics

The Azure Text Analytics is very easy to use. Go into the browser. Paste in your text and immediately pull keywords etc.

I have found the sentiment meter to be flawed and completely incorrect at times. The AI needs a little work interpreting context created by other sentences.

We never did anything technical with feedback until recently. It is very helpful to be able to easily pull keywords and phrases from feedback to see what language resonates with our customers. We are in the process of improving our messaging and marketing using data collected to inform decisions.