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08/02/2019

FRANCEWEB launches partnership network, ‘The Grid,’ to help grow urban tech ecosystem. "Media Intelligence"-> "PoissySmartCity"

FW-pour-vous-et-avec-vous.jpgPPF,Dipl.Ing.StefanV.Raducanu veille pour vous: économie,technologie, societal, Je pense que je peux donner de l'énergie aux gens grâce à ce que je fais.,UNE VAGUE D'INSPIRATION. Media Intelligence!

2 maini.jpgThe Grid,a member-based partnership network for urban tech community. The goal of the network is to link organizations, academia and local tech leaders in order to promote collaboration and the sharing of knowledge and resources.

In addition to connecting member companies and talent, The Grid will host various events, educational programs and co-innovation projects, while hopefully improving access to investors as well as pilot program opportunities. The Grid is launching with more than 30 member organizations — approved through an application and screening process — across various stages and sectors.

 The Crucial Question : Is It for You ?

As partner, you have to be market-driven, not information -driven.

Where can you find the knowledge to expand your Internet experience ?

StefanV.Raducanu,Webpiculteur...Le triangle de FranceWeb, integrateur de portail passe par une triple compétence: éditoriale, technologique, humaine. 3poles.png

Une stratégie de partenariats.


Media Intelligence uses data mining and data science to analyze public social and editorial media content. It refers to marketing systems that synthesize billions of online conversations into relevant information that allow organizations to measure and manage content performance, understand trends, and drive communications and business strategy.

Media intelligence can include software as a service using big data terminology.[1] This includes questions about messaging efficiency, share of voice, audience geographical distribution, message amplification, influencer strategy, journalist outreach, creative resonance, and competitor performance in all these areas.

Media intelligence differs from business intelligence in that it uses and analyzes data outside company firewalls. Examples of that data are user-generated content on social media sites, blogs, comment fields, and wikis etc. It may also include other public data sources like press releases, news, blogs, legal filings, reviews and job postings.

Media Intelligence may also include competitive intelligence, wherein information that is gathered from publicly available sources such as social media, press releases, and news announcements are used to better understand the strategies and tactics being deployed by competing businesses.

Media Intelligence is enhanced by means of emerging technologies like semantic tagging, Natural Language Processing, sentiment analysis and machine translation.

Technologies used

Different media intelligence platforms use different technologies for monitoring, curating content, engaging with content, data analysis and measurement of communications and marketing campaign success. These technology providers, such as BuzzCovery Meltwater, Synoptos, Radian 6, or Sysomos may obtain content by scraping content directly from websites or by connecting to the API provided by social media or other content platforms that are created for 3rd party developers to develop their own applications and services that access data. Facebook's Graph API is one such API that social media monitoring solution products would connect to pull data from.[2] Technology companies may also get data from a data reseller, such as DataSift (acquired by Meltwater), Gnip (acquired by ), LexisNexis, or Dow Jones/Factiva.

Some social media monitoring and analytics companies use calls to data providers each time an end-user develops a query. Others archive and index social media posts to provide end users with on-demand access to historical data and enable methodologies and technologies leveraging network and relational data. Additional monitoring companies use crawlers and spidering technology to find keyword references, known as semantic analysis or natural language processing. Basic implementation involves curating data from social media on a large scale and analyzing the results to make sense out of it.[3]

References

  1. De, Shaunak; Maity, Abhishek; Goel, Vritti; Shitole, Sanjay; Bhattacharya, Avik (2017). "Predicting the popularity of instagram posts for a lifestyle magazine using deep learning". 2nd IEEE International Conference on Communication Systems, Computing and IT Applications (CSCITA): 174-177. doi:10.1109/CSCITA.2017.8066548.
 
 
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