ennet: Utilities to Extract and Analyse Text Data from the Emergency Nutrition Network (en-net) Forum
en-net is the go to online forum for field practitioners requiring prompt technical advice for operational challenges for which answers are not readily accessible in current guidelines. The questions and the corresponding answers raised within en-net online forum can provide insight into what the key topics of discussion are within the nutrition sector. This package provides utility functions for the extraction, processing and analysis of text data from the online forum.
ennet package has two key sets of functions:
The first set of functions facilitates the extraction of text data from the en-net online forum.
The second set of functions supports the analysis of the extracted datasets to produce summary measures and statistics of the en-net online forum.
ennet data extraction workflow
ennet package provides a set of functions that extracts information from the en-net online forum. This set of
functions was built on top of the
rvest package which provides robust and performant web scraping functions and
dplyr package which provides a full suite of data manipulation functions. The
ennet package was designed
to be able to interact with how the en-net online forum has been structured.
en-net website structure
The en-net online forum website has a very clear and clean structure. The opening page is a list of thematic areas which are linked to each of their respective webpages. In each of these thematic area webpages is another list, this time a list of topics raised within the thematic area. These topics are the text that an online user provides as the title for the question she/he is going to ask. Each of the topics are then again linked to their respective webpages that show the actual full question raised and the ensuing responses and discussion stemming from that question.
Based on this structure, the following functions are available from the
ennet package for extracting text data:
get_themes- function to get a list of thematic areas in the forum;
get_themes_topics- functions to get list of topics for a specific thematic area or thematic areas; and,
get_topics_discussions- functions to get list of discussions for a specific topic or topics,
For a more detailed discussion of the data extraction workflow via the
ennet package, read Utilities to Extract Text Data from en-net.
ennet analytics functions
ennet package also includes analytic functions that summarises the text data available from the en-net online forum. Currently, there are four analytic functions available from
count_topics- function to count the number of topics or questions by theme and date;
count_authors- function to count the number of topics attributed to a specific author;
arrange_views- function to arrange topics by number of views; and,
arrange_replies- function to arrange topics by number of replies.
For a more detailed discussion of the analytics functions available from the
ennet package, read Summarising en-net online forum statistics.
Utilities and datasets
In addition to these two sets of key functions,
ennet package also includes a function -
update_topics - that extracts the en-net online forum dataset and updates it at a given time interval. This is a convenience wrapper function to
get_themes_topics that is potentially useful for those who wants to build dashboards or applications that uses data from the en-net online forum.
Two datasets are also included in the
en-net package. The first dataset is a data.frame of en-net online forum themes and the second dataset is a data.frame of en-net online forum topics.
The en-net online forum is a rich resource for understanding the community of users that participate in it. And given how an online forum is designed, that resource can be tapped relatively easily given that the documentation of the interaction and discussion between its users happens in real-time. The
ennet package facilitates the access to that information through the statistical analysis tool R with which further levels of analysis can be applied to generate meaningful and valuable understanding of this specific community and to some extent the greater nutrition sector at large.
Following are a few practical and meaningful applications of the information generated by the en-net online forum.
Assess effectiveness of the en-net online forum
The data from the en-net online forum can be used to assess effectiveness of the forum. Effectiveness can be defined as whether the forum has been able to achieve its stated aims/objectives when it was started. Effectiveness can also be expressed in terms of indicators or metrics that reflect overarching principles, ideals or values that those who started the forum adhere to or that the community of users and the wider sector or society believe in. These may include values of inclusion, participation, scientific rigour among others. Given that the forum has been in existence for many years now, information is available over the same period allowing for assessing temporal variation in effectiveness (as defined). This application is a more normative approach and will involve creating or developing metrics or taking relevant metrics from other sectors and applying those to this case.
Identify gaps in information, knowledge and/or skills
Given the nature of the en-net online forum as a quick point of recourse for field practitioners to seek answers to practical questions and challenges faced, it can be expected that the data from the forum contains information on what these topics are. These information can then be used to identify most common or most important information, knowledge and skills that have been asked about. By identifying these gaps in information, knowledge and/or skills and by understanding the evolution of these needs over time, we can potentially predict training needs in the near term and over time. This application is a more formative approach in that we let the data tell us what information it holds.
ennet package provides R users access to text data from the en-net online forum which can be used for various purposes. In the coming weeks, we’ll be using the
ennet package to draw data from the en-net online forum to analyse the topics and discussions in the forum and answer questions that may offer a deeper insight into the community that the online forum fosters.
If you have ideas of questions to explore through the
ennet package, let us know here.