Sentiment Analysis and Databases
Portée du projet
Catégories
Visualisation des données Apprentissage automatique Intelligence artificielle Bases Data scienceCompétences
data extraction sentiment analysis sql (programming language) dashboardThe goal is to wrangle the data and perform sentiment analysis on the data provided by web scrapping team. Also perform format analysis in SQL database for the dashboard team. This is required to build an ecosystem analysis.
- Identify the pattern and analyze the reasons behind the findings to establish support for sentiment analysis.
- Analysis of data to determine trends and comparisons between different regions and areas.
Deliverables:
- Data extraction code
- The data used to carry out the analysis
- Documentation on the process followed.
- Deliver findings related to the objective
- A comprehensive report for the approach taken for the project, the observations, and conclusions.
The collaborator has the following responsibilities within the project:
- Provide dataset to faculty and students
- Communicate with students regarding projects in a timely manner. This may be in the form of in-person, email, telephone or video conference
- Attend kick-off meeting with students, review proposal and attend the final presentation (accommodations can be made if in-person is not possible, example: video conference)
À propos de l'entreprise
Ada Analytics is a data analytics company dedicated to empowering individuals and organizations with advanced analytical tools for informed decision-making.
Founded in 2021 by Dr. Ray Hsu, Ada Analytics has expanded its focus to serve the growing demand for advanced data analytics. Our team is dedicated to pushing the boundaries of what's possible with data analytics and to building innovative solutions that address real-world challenges.
At Ada Analytics, we understand the transformative potential of data in driving strategic outcomes. We leverage big data, machine learning, and AI technologies to develop cutting-edge solutions that enable our clients to gain deep insights into market trends, consumer behavior, and more. Our commitment to excellence and innovation drives us to push the boundaries of what's possible in data analytics.