About Semantrum system: basic features
Semantrum is an online system for reputation monitoring and analysis.
The system searches for your and your competitors' brands, companies, organizations, people and other keywords in a database of data collected from web media, social media, review sites and job searches.
An online system that accumulates 24/7 information from these types of sources for further analysis:
- 215,000+ news websites, news agencies, online publications, government agencies and companies worldwide;
- Social networks and messengers: Facebook, Youtube, Twitter, Instagram, Telegram, TikTok, LinkedIn;
- Sites with reviews;
- CV and vacancies;
- Online forums.
We add web sources to the scanning continuously. Semantrum monitoring 215,000+ news websites, news agencies, online offices, state agencies and companies.
The Semantrum system provides many additional options to customize the work with mention monitoring and to build analytics on these mentions.
What can you get with Semantrum?
System detects additional attributes for all your mentions - tone of voice, coverage, type of mention, whether your brand was crucial for this publication or not; whether there was direct speech in the publication; names of people, geographical objects, brands and companies mentioned in the publications.
Publication tone of voice is based on mentions of your monitoring object in the text of the publications. Publication sentiment can be used as a filter for analytics in graph views, exports and dashboards. You can also correct the tone of the publications by yourself. To make the analysis of negative tone of voice more detailed, we have added additional categories of risky mentions. Learn more about identification of Potentially Risky Publications.
Audience coverage of publications is calculated automatically by the number of visits to the site per month or by the number of subscribers to the source. This indicator shows the forecusted number of views of the publication (news/post/story). The coverage is displayed on the publication card, you can get the data in excel-exports and automatic reports in the system, as well as in the dashboard to get a different kind of graphs according to this indicator. Coverage of publications allows you to build analytics of mentions, taking into account not only their quantity but also their forecusted effect on the audience. For social media posts, the system also scans open metrics: views, likes/reactions, reposts, and comments. Learn more about social media monitoring.
Role in the publication shows the role of the monitored object in the publication - main, secondary or occasional. Thanks to this parameter, you can select the most relevant publications, i.e. those in which the company/person is not mentioned in passing, but is in the center of attention, identify the sources that most often mention your monitored object in the main role, analyze the coverage of mentions by role, etc.
The system automatically calculates communication effectiveness indices. You can filter your mentions according to the Media Visibility Index parameter in order to select the publications that have the most impact on the information field. With the Media Loyalty Index you can quickly assess the ratio of positive and negative mentions of the monitored object, monitor the dynamics of the index and compare its level for your company/brand and competitors.
Publications automatically identify mentions of people, geographical objects, brands and companies. You can use filters by these automatically defined objects and view statistics in graph mode. For example, you can determine which geographical objects are most often mentioned by your competitors in initiated publications (with a combination of Geography and Direct Speech filters), which people are most often mentioned together with your company or competitors, etc.
You can also work with the characteristics of sources reporting about you. You can filter publications and retrieve statistics by source name, source size, region of origin, theme and source category. Learn more about what source characteristics are highlighted in Semantrum. In addition to the region of sources, Semantrum automatically detects the language of publications, so you can filter publications and generate analytics on mentions in different language areas. By separately highlighting the author of a publication you can identify active users in social networks who are writing about you. For social media posts, the hashtags that were used in them are also identified. You can find out what hashtags your audience and competitors are using, use hashtags to collect posts on topics and as filters in your account. Learn more about searching by hashtags.
How can you set up your work in Semantrum?
Your account is set up individually for you and includes topics based on the keywords of your request. You can also change the keywords or create topics on your own. One account can be used by several of your co-workers, and you can customize the user's rights and roles to define areas of responsibility for your co-workers. Find out more about how to set up an account.
Users can receive alerts with different settings via e-mail, personal channel or Telegram group and receive automatic reports without having to log in. Allerts can be sent on a schedule or in real time, with a choice of attachments, automatic daily and weekly reports.
If you use certain filters frequently, you can save them for reuse by creating a saved query. You can apply the filters you need faster, work on the same query with other users or make the query private, and you can also set up allergies on the saved queries. In this way you can, for example, set up alerts on the appearance of negative publications, on the appearance of publications with certain keywords or on certain sources.
How can you work with found mentions in your account?
You can work with publications in your account: export, change tone of voice, tagging, delete publications, (group publications by similarity).
You can work either with a single document in the system or via the Mass Work tools, working through up to 3,000 publications at a time. In Mass mode, you can delete publications, change their tone of voice, and add tags. You can also work with publications massively in grouping mode.
Tag is a label that can be attached to publications automatically or manually. Tagging allows you to filter publications, generate charts and export data into a report. Tags can be created and added by users, including mass processing of publications, as well as setting up automatic addition of tags according to the presence of certain keywords and other parameters in publications. Tags can be organized into groups, so you can separately identify, for example, tags of products, speakers, and publication topics. You can use tags to filter mentions, view statistics in graph mode, receive data in exports and organise analytics in the dashboard.
The stories generation allows to combine separate publications in the sample (filtered publications) according to the parameter of keyword matching into groups, i.e. groups with similar topics and text. Generating stories allows you to save time on analyzing topics of mentions, quickly navigate through the information space without wasting time in reviewing rewrites and similar publications. Stories generation also allows you to work more effectively with tone and tags, applying them massively to stories. Exporting stories in .xlsx and .docx formats allows for effective data management and reduced reporting.
Exports are available in .docx .xlsx and .pptx formats. Besides the list and texts of publications, you can also export: automatically generated annotations of publications, stories, publications with sections and sorting according to a certain feature, automatic reports in .docx .xlsx and .pptx formats. The .xlsx-exports provide you with a large amount of data that you can use to generate further analyses on your own. You can get ready-made graphs in automatic reports, in the graph view and in the dashboard.
How can you review the results of monitoring in Semantrum?
Data in the system is represented by a publication feed, graphs reacting on filter application and I image view mode.
In the publication feed, you can select the topics on which you view posts, or you can view postings of all topics at once. Learn more about topic viewing. In addition, you can select any filters to view posts by topic, but you can also view the tags and tag groups you've set up in your account separately from your topics. Learn more about viewing in tag mode.
Image view mode allows you to see the images used in your publications/posts. This mode would be useful if you need to analyse the visual range of your competitor's social media account, visual elements that are associated with your brand in the media, view photos by hashtags, e.g. the hashtag of an event or competition, etc.
The charts mode gives access to quick visual analysis of mentions according to selected filters. The main graphs for quantitative statistics of mentions are presented here. In Graphs mode several tabs are available with thematically grouped graphs: general statistics, tone, sources, tags, automatically defined people/brands/geographic objects. You can view graphs for the selected topic/topic, export images and data from the graphs.
What other options are available to Semantrum users?
Based on your needs we can set up an interactive dashboard with personalised cross-sections and graphs. The dashboard can be extended with additional external data, e.g. Google Analytics or your financial data. What is a dashboard and what are its features?
If you need to generate reports and process publications for specific needs, you can order analytical services from Semantrum. You can get support for your work with a Semantrum analyst, develop and execute custom reports of various intervals and provide the analyst's findings in the reports.
If you are not sure which metrics and characteristics are important for you, read our blog post How to build а communication evaluation system for a brand or organization.
Enjoy using the Semantrum system!
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