Trend detection on social networks

Context and problematic

In an increasingly competitive industry, our client wishes to analyze the content of social networks, to detect future trends.

Goals

Collect a very large amount of data through social networks.
Grasp changes in target audiences.
Detect new consumer segments.
Anticipate ruptures and changes in habits and behaviors.

Our intervention

2 Data Scientist, 1 Data Engineer

Implementation of Datalake and data pipeline with automated data collection
Development of text and image analysis algorithms
Sentiment analysis and scoring of collected data
Integration of machine learning algorithms for better prediction of trends
Development of the visualization application in reactJS and VueJS

Résults

Functional platform with updated information in real time.
Our client’s marketing team uses it on a daily basis!
A V2 with a personalized marketing campaign function is considered.

Technical environment

Python – Pandas – Numpy – Sklearn – Tensorflox – Keras – Pytorch
Cassandra – Hbase – ElasticSearch – Apache Kafka
GCP
ReactJS – VueJS
Git

Together with our customers, we build solutions that change and facilitate their daily lives.

Our clients cases

Aide à la création de médicaments

Plateforme d’analyse de besoins clients

Conception et industrialisation du SI analytics

Prédiction de retards

Analyse de visage pour recommandation produits

Application d’optimisation de la Supply Chain

Scoring et analyse
de la peau

Analyse de Forums

Personnalisation de contenu

Analyse des activités de support IT

Détection de tendances sur les réseaux sociaux

Détection
de beaconing

Outil de classification de documents

Détection de cancer via Deep Learning

Conception de plateforme de veille stratégique

Rendements
des champs agricoles

Conception du Data Hub et implémentation

Analyse et prévention des problèmes Skype

Assistant d’aide à la recherche

Classification de pages Web