With a couple of Agorapulse features you'll be able to track the sentiment on incoming comments, messages, posts or tweets. Below you'll find how to do this.
To track the sentiment you'll need to set up and use labels - using words such as happy, amazing, great, best and similar are related to positive sentiment, you can label each item with these or similar words with positive labels. On the other hand, words such as bad, poor, awful, horrible and similar, are related to negative sentiment, so you might want to label them with a negative label.
There are two ways you can label items and each of them has benefits:
manually - this way is preferable if you have fewer items to label because labelling dozens of items manually can be a pain. Also, by labelling manually, the relevancy of labelling is better than automatic labelling, because who knows better than a human what is positive and negative, right? Our help centre article here shows you how to do this.
automatically - for automatic labeling you can use the Inbox Assistant. These are automatic rules performing actions on incoming content, based on defined settings. You set up Inbox Assistant once and let them do the work for you! There can be dozens or hundreds of items, and Inbox Assistant will catch and label them all.
Note: Before setting up the Inbox Assistant rule for labelling, manually create at least one positive and one negative label.
Wondering where to find your sentiment analysis? Head over to the REPORTS section and while in the Global tab, scroll down to the Label distribution part. On the diagram showing labelled audience content, you'll see the percentage of positive or negative content.
Of course, you can be as creative as you want - you can create more labels, such as raving, churn, etc., to segment your audience content in more detail. Also, you can include multiple positive or negative words in Inbox Assistant - there can be dozens of words related to positive sentiment, for example. The only limit here is you :)