Filtering Posts

To carry out a general analysis of posts or to select which authors/posts are shown, you need to select the relevant filters, and unselect those which aren’t relevant. There is a range of different criteria for the selection of messages, which is detailed below.

• Monitoring: allows that posts from different monitorings are grouped on one screen. For example, if the user has one monitoring for their brand, and another for a competitor, it is possible to make comparisons by clicking on the brand monitoring, and adding a the competitor monitoring. This can be done by selecting the option Select monitorings.

  

• Period: allows the user to select only the posts from a determined period of time. The button Today is a shortcut to see the data from the current day, while the buttons Week and Month are shortcuts to see posts from the last seven days and from the last 30 days, respectively.

  

• Filter by keywords on the text: allows you to see statistics only from the posts in the monitoring which contain certain words. The words used in the text filter are highlighted on the posts in orange, and the words set as the monitoring’s original search keys are highlighted in yellow.

  

  The word filter allows the use of logical expressions. For this, use the following functions:

  1. OR: behaves the same as the default search, in which posts returned contain at least one of the words entered.

     For example, the search dog OR hot will return the following posts:

     • I ate a hot dog.
     • Today is hot, so I’m not going to walk my dog.
     • I took my dog to the pet shop.
     • It has never been so hot.

  2. AND: returns only posts which contain all of the words entered.

     For example, the search dog AND hot returns the following posts:

     • I ate a hot dog.
     • Today is hot, so I’m not going to walk my dog.

  3. NOT: returns the posts which do not contain the word after the function.

     For example, the search dog NOT hot returns the following post:

     • I took my dog to the pet shop.

  4. Speech marks: returns the posts which contain exactly the text entered (i.e. to search for a specific phrase).

     For example, the search "hot dog" returns the following post:

     • I ate a hot dog.

     The speech marks also allow you to search for hashtags in posts, differentiating the word without a hashtag. For example, the search "#dog" (including the speech marks) will return only the posts which include the # before the word dog. For example, the following post would be captured:

     • I love my Chihuahua #dog.

  5. Parentheses: groups multiple functions, allowing for more complex searches.

     For example, the search (dog NOT hot) OR (hot NOT dog) returns the following posts:

     • I took my dog to the pet shop.
     • It has never been so hot.

• Filter by author name: allows you to filter all the posts by the name of the author. The search is done by full name and username (handle) of the author. Note that if you enter various names (separated by spaces), all users whose names contain at least one of the names entered will be returned. To select a particular user whose name contains various words, use speech marks. For example, if you search for John Doe, all the posts from users with the name John, plus all the posts from users with the name Doe will be selected. To search for posts from a specific user you need to use speech marks, for example "John Doe".

  

• Biography: Allows you to filter posts by words the author has included in their biography. On some social medias, the biography is called “Bio” or “About”, and refers to the field of text where users can insert a description of themselves. On inserting words in this field, only the posts from authors whose biographies contain the words you enter will be shown.

  

• Detected Location: This option allows you to search for posts based upon the location detected on each point of the text or the author’s profile by the system’s intelligence. Sometimes it is common that a post’s author declares different locations on its profile, by informing then directly or talking about in its biography. It’s also possible for a post to have several different locations mentioned. Such a filter allows posts like that to be filtered.

  

• Filtering by Sentiment: allows you to filter posts by a determined sentiment (positive, negative or neutral). More information about the sentiment of posts can be found in the section Review of Posts and Authors.

  

• Filtering by Tags: allows you to filter posts which have a specific tag. The filter indicates that the posts returned will have at least one of the tags selected. It is also possible to filter only the messages which don’t have any tags.

  

  Filtering by tags, as shown above, allows the simple selection of tags: whatever has at least one of the selected tags will be shown. It is possible to make an advanced selection of posts, by writing rules which indicate which tags should be and present, and which tags should not, on the posts filtered. To do this, click Advanced to show the settings which allow you to edit your tag search requirements.

  It is possible to edit the rules using the functions & (AND), | (OR) and ! (NEGATION), on top of grouping tags using parentheses. The tags need to be typed exactly as indicated on the moment of their creation, and need to be between single quotation marks ('). For example, to select all the posts that:

  • have the tags Sale or Service: 'Sale' | 'Service'
  • have the tags Sale and Internet at the same time: 'Sale' & 'Internet'
  • have the tags Sale and Internet, but don’t contain the tag Complaint: 'Sale' & 'Internet' & ! 'Complaint'
  • have the tags Sale and Shop, or the tags Sale and Internet: ('Sale' & 'Shop') | ('Sale' & 'Internet')

• Filtering by Author tags: Allows you to filter posts so that the only posts shown are those from authors with specific tags. It is similar to Filtering by Tags, with the difference being the tags relate to authors, as opposed to posts. Therefore, all the posts from an author with a chosen tag will be selected.