Introducing
The Slant team built an AI & it’s awesome
Find the best product instantly
Add to Chrome
Add to Edge
Add to Firefox
Add to Opera
Add to Brave
Add to Safari
Try it now
4.7 star rating
0
Development
What are the best sentiment analysis APIs for texts?
3
Options
Considered
2
User
Recs.
Sep 24, 2021
Last
Updated
Related Questions
Activity
Have feedback or ideas?
Join our community
on Discord
Ad
3
Options
Considered
Best sentiment analysis APIs for texts
Price
Last Updated
--
BytesView
-
Sep 24, 2021
--
IBM Watson Tone Analyzer
Free
May 29, 2018
--
Aylien
Free
Jun 12, 2018
See Full List
--
BytesView
My Rec
ommendation
for
BytesView
My Recommendation for
BytesView
Hide
Get it
here
Recommend
--
IBM Watson Tone Analyzer
My Rec
ommendation
for
IBM Watson Tone Analyzer
My Recommendation for
IBM Watson Tone Analyzer
All
6
Pros
5
Cons
1
Top
Pro
•••
Easy to set up
Watson is a bit of a one stop shop for tone analysis. It's packages are self contained, so setup is simple and can be injected into nearly any app. There aren't any dependencies and setup can be done via the command line by simply setting up an endpoint and a user engagement point. All setup steps are well documented here.
See More
Top
Con
•••
Limited non-English support
Some users have reported that Watson has trouble with other languages. Watson only officially supports English and French, so its support for other languages can be limited. Users have reported trouble with the Spanish tool specifically, saying that it's slow and unresponsive.
See More
Top
Pro
•••
Globally used with a good community
Watson is one of the more common tone analyzers and is used worldwide. The community surrounding it is fairly large, so any questions you have can be directed to an educated userbase. You can find Watson developers on StackExchange, the IBM forums, and they even have a Slack channel.
See More
Top
Pro
•••
Can detect emotion through both slang and emoticons
See More
Top
Pro
•••
Developer friendly
IBM provides SDK's for Android, Java, Node.js, Python, Salesforce, Swift, .NET, OpenWhisk, Unity, Go, PHP, Ruby, and Scala. Using the service is easy, simply passing the input text to the service via GET or POST, and the service returns an analysis in JSON format.
See More
Top
Pro
•••
Good accuracy
Watson was tested against standard emotion sets like SEMEVAL and ISEAR, and was found to be around 41-68% accurate, beating out the best reported accuracy of the state of the art models which came in at around 37-63%. You can read more about Watson's accuracy here.
See More
Hide
See All
Free
Recommend
1
--
Aylien
My Rec
ommendation
for
Aylien
My Recommendation for
Aylien
All
6
Pros
5
Cons
1
Top
Pro
•••
Easy setup
There aren't any dependencies, all you need to do is make a Post or Get request from the API and you're off.
See More
Top
Con
•••
Very little existing information about accuracy
Investing a lot of time into working with Aylien may prove risky due to the lack of hard statistics online.
See More
Top
Pro
•••
Good accuracy
As of 2015, Aylien stated that the accuracy of their service was around 80%.
See More
Top
Pro
•••
Supports six spoken languages
Aylien provides full support for English, and partial support for German, French, Italian, Spanish, and Portuguese. You can see the full list of language support here.
See More
Top
Pro
•••
Provides SDKs for a number of popular programming languages
Aylien provides an SDK for JS, Python, PHP, Java, Ruby, Go, and C#. Using an SDK allows you to embed Aylien's functionality within your code instead of making an HTTP Get or Post request.
See More
Top
Pro
•••
Free access for users with less than 1000 API calls per day
See More
Hide
See All
Free
Recommend
1
Don't see your favorite option? Add it.
Built By the Slant team
Find the best product instantly.
4.7 star rating
Add to Chrome
Add to Edge
Add to Firefox
Add to Opera
Add to Brave
Add to Safari
Try it now - it's free
One sec!
Are you sure that you want to abandon your hard work?
Delete Work
Continue working
{}
undefined
url next
price drop