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Sentiment Analysis in Content Hub

When planning your next great post, it's especially important to keep an eye on how your audiences are feeling about the content being shared. Without any manual effort from your side, Emplifi’ algorithm detects and evaluates the sentiment of all comments. Then, it automatically assigns an overall sentiment to that post with one of seven different nuances, reaching from Strongly Positive Sentiment over Neutral to Strongly Negative Sentiment. Posts with less than four comments have No Sentiment assigned to it. 

How does sentiment analysis help me?

The proper analysis of your content’s sentiment can help you answer questions such as:

  • Why are people responding to this particular piece of content in a certain way?

  • Is this a consistent reading across most of our content, or just an anomaly?

  • What are these sentiment patterns telling us about our overall strategy?

In Emplifi Content Hub, you can easily drill down into one post's sentiment specifically, or get a view of sentiment on content and messaging over time. Automated sentiment, in particular, allows you to manage this process at scale, saving tons of time and energy. From Afrikaans to Yoruba, automated sentiment is detected for more than 100 languages – check out the full list of supported languages in Languages Covered in Automated Sentiment Analysis.

To learn more about sentiment analysis (including automated sentiment) across the entire Emplifi platform, see Using Sentiment Analysis to Understand Your Audience.

Filter sentiment in the main feed

In Content → Feed, you can filter search results based on overall sentiment values. This allows you to identify your most positive and most negative content in an instant.

Steps:

Open to read
  1. In Content → Feed, type sentiment in the search bar, or open the Search options panel to see all of the search options available to you.

  2. Select which sentiment to filter for in your search results. For a description of each sentiment, open the search options and hover over the question mark in the Content sentiment section of the search options panel.

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  3. Click Search.
    Once you generate content results based on your search, you can find the sentiment tag on the result itself. This tag sits between the Organic/Paid tag and the Content Grade tag (if your plan includes it.)

  4. Click the post open the post details.

  5. Click Comments to see a breakdown of sentiment for comments and additional analytics.

    Sentiments marked with an A indicates that the sentiment was automatically detected. From this screen, you can also change the comment sentiment for an individual comment.

  6. For a metrics-driven perspective, click the Post Insights tab.

    Exports are available as XLXS and can be downloaded immediately.

Filter sentiment in the listening feed

In Content → Listening, you can filter your listening mentions by their automated or manual sentiment values. This allows you to identify the most positive and negative content from your listening query in an instant.

This search method does not provide details of the mentions overall sentiment. Instead, results are based on the automated sentiment or manual sentiment of the mention. For overall sentiment results, use the search in Content → Feed.

Steps:

Open to read
  1. In Content → Listening, open Search options and add a query or query set to your search.

  2. Select which sentiment to filter for in your search results. For a description of each sentiment, open the search options and hover over the question mark in the Content sentiment section of the search options panel.

  3. Click Search.
    Once you generate listening mentions based on your search, you can find the sentiment tag on the result itself. Results with an A on the sentiment indicate the sentiment was applied automatically by the Emplifi algorithm.

You can confirm the state of a sentiment by clicking the value it already has, or change the sentiment by clicking a new one. This removes the Automated label for the sentiment as well. Select multiple mentions to change the sentiment in bulk.

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