Integrate Twitter with IBM Watson
Twitter
Instantly connect to what’s most important to you. Follow your friends, experts, favorite celebrities, and breaking news.
IBM Watson
IBM Watson is a cognitive system that enables a new partnership between people and computers that enhances and scales human expertise.
Tweets
-
- ID
- The unique identifier for this tweet.
- Created At
- UTC time when the tweet was created.
- Text
- The text of the status update, typically up to 140 characters.
- Language
- When present, indicates a BCP 47 language identifier corresponding to the language of the Tweet text.
- User
- The user who posted this tweet.
-
New Status
Triggers on new tweets matching the specified phrases.
-
Post a Tweet
Posts a new tweet.
-
Reply
Posts a reply to the selected tweet.
-
Retweet
-
Favorite
Users
-
- ID
- The unique identifier for this user.
- Screen Name
- The screen name, handle, or alias that this user identifies themselves with.
- Name
- The name of the user, as they’ve defined it.
- Description
- —
- Followers Count
- The number of followers this account currently has.
- Profile Image URL
- URL pointing to the user’s avatar image.
- Is Verified
- Indicates whether the user has a verified account.
- Created At
- The UTC datetime that the user account was created.
-
New Follower
Triggers when the selected account has a new Twitter follower.
Images
-
- Labels
- —
-
Classify an Image
Analyses the given image and returns a list of applicable labels.
Audio
-
Combine to Transcript
This pipe combines two audio speakers’s channels to a single transcript. This pipe is useful if you have a two-person conversation where each peson’s voice is in a separate file or audio channel. You can split a two-channel audio with a
Transcode an Audio
pipe from our Transode channel. This pipe will combine the word timestamps from twoSpeech To Text
pipes in a single transcript. -
Speech To Text
Uses IBM Watson to transcribe an audio recording. You may have to change the audio recognition model if your recording is narrowband, for example if you have 8000Hz phone recording.
Text
-
Extract Keywords
-
Extract Sentiment