Filter Data on iQ Social

Segments enable you to apply specific rules to filter the data within a monitor or dashboard

Table of contents

  1. Create Segments
  2. Rules

Create Segments

Go to iQ Social > Login using your iQ Social credentials > Listen > Segments

There are three ways to create a segment:

  1. First, you can create a group to categorize your segments. You can also click on No Group to see all the segments created that are not grouped. To do so, click on +Add new group, give it a name, and click on Save.
  2. When you click on +Add new segment, a pop-up window will open. You can select a group and assign a name to your Segment. Add rules that will filter data in the monitor or dashboard. There are different types of rules that you can select.
  3. Once you’re satisfied, click on Save to finish creating your segment.

    Segments

Rules

  • Mention text: here you may select if the mention Contains or Does not contain specific words or phrases.
  • Is comment: here you will see to True or False, which indicates whether mentions have comments or not.
  • Is Retweet: here you will see to True or False, which indicates whether mentions have retweets or not.
  • Is Verified: here you will see to True or False, which indicates whether mentions are from verified accounts.
  • Network: here you will see if the network is = or !=, which indicates whether mentions are from the network selected or not.
  • Hashtags: here you will see if the hashtag is = or !=, which indicates whether mentions have the hashtags selected or not.
  • Tags: here you will see if the tags are = or !=, which indicates whether mentions have the tags selected or not.
  • URLs in Mention Text: here, you may select if the mention Contains or Does not contain specific URLs in the mention’s text.
  • Country: here you will see if the country is = or !=, which indicates whether mentions come from the country selected or not.
  • Region: here you can select the region from a country.
  • Metropolitan area: here you can select a metropolitan area from the US.
  • Language: here you will see if the language is = or !=, which indicates whether mentions are in the language selected or not.
  • Author’s username: here you will see if the username is = or !=, which indicates whether the author’s username matches a given name or not (e.g.: @name).
  • Author Display Name: here you will see if the name is = or !=, which indicates whether the author’s display name matches a given name or not.
  • Author’s influencers score: here you will be able to choose how high or low the author’s influence is in the mentions.
  • Author’s reach: here you can choose how high or low the author’s reach is.
  • Author’s number of followers: here you will be able to choose how high or low the author’s number of followers is in the mentions.
  • Author Gender: here you will see if the gender is = or !=, which indicates whether the author’s gender is the gender selected or not.
  • Author female score: here you will be able to choose how high or low the author female score is for the mentions.
  • Author male score: here you will be able to choose how high or low the author male score is for the mentions.
  • Author Bio: here you may select if the mention Contains or Does not contain specific words or phrases on the author’s bio in the mentions.
  • Mentioned username (Twitter): here you will see if the mentioned username is = or !=, which indicates whether the username you put in the box is mentioned or not.
  • Sentiment Category: here you will be able to choose whether the sentiment is positive, negative, or neutral.
  • Tense: here you will see if the tense is = or !=, which indicates whether mentions are written in the past, present, or future tenses (or not).
  • Sentiment score: here you will be able to choose how high or low the sentiment score is for the mentions.
  • Subjectivity score: here you will be able to choose how high or low the subjectivity score is for the mentions.
  • Vulgarity score: here you will be able to choose how high or low the vulgarity score is for the mentions.
  • Joy/Trust/Fear/Surprise/Sadness/Disgust/Anger/Anticipation score: here you will be able to choose how high or low the type of sentiment score is for the mentions.
  • Contains media: here you will see to True, which indicates the mentions contain multimedia files.