You will get Twitter customer engagement data for analyzing brand sentiments
Project details
Our project enables clients to retrieve and analyze Twitter data for valuable insights. With our Twitter API integration, clients can access both historical and real-time streaming data. We offer a range of tiers, including sentiment analysis using the powerful Google Cloud Natural Language API or a library of the client's choice.
Clients can easily collect large volumes of Twitter data based on keywords, hashtags, or mentions, providing opportunities for market research, brand monitoring, and competitive analysis. Our unique features include advanced sentiment analysis, customizable data visualization options, and the ability to gain comprehensive insights into the sentiment surrounding specific topics or brands.
By leveraging our project, clients can make informed decisions, enhance their strategies, and achieve better business outcomes.
Clients can easily collect large volumes of Twitter data based on keywords, hashtags, or mentions, providing opportunities for market research, brand monitoring, and competitive analysis. Our unique features include advanced sentiment analysis, customizable data visualization options, and the ability to gain comprehensive insights into the sentiment surrounding specific topics or brands.
By leveraging our project, clients can make informed decisions, enhance their strategies, and achieve better business outcomes.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 30 days |
Number of Revisions | 2 | 5 | Unlimited |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50Frequently asked questions
About Vishal
Data Scientist - Expert in Web Scraping, Python, SQL, NLP and more
Noida, India - 5:34 am local time
I specialize in developing innovative solutions in web scraping, API integration, leveraging real-time streaming, ETL pipelines, SQL databases, data cleaning and preprocessing, and machine learning model development. With a proven track record of delivering impactful projects, I drive tangible results for clients across diverse industries.
Collaborating with me ensures a dynamic professional dedicated to unlocking the full potential of your data, driving growth, and achieving your business objectives. Let's embark on a data-driven journey together.
PROJECT WORKFLOW
1. FREE INFORMATIONAL CALL - A 30-minute call where I will listen to your project goals and provide immediate suggestions.
2. PROPOSAL - Following our call, you will receive:
- A range of suggested solutions.
- A proposal outlining the scope of the project, timeline, and budget estimate.
3. GET THE WORK DONE - Once you give the contract the green light, I will start working on our project and give you timely progress updates.
4. REVIEW & APPROVE - Going on, we successfully complete the project and enjoy the result :)
5. CLOSEOUT & SUPPORT - You are welcome to contact me with any questions after the project is finished. I will make sure everything works 100% as expected. Moreover, I will suggest ideas leading to increased benefits for your business.
CORE VALUES:
My core values encompass maintaining transparency, ensuring full client satisfaction, and delivering high-quality work that exceeds expectations. I am committed to fostering a collaborative environment, upholding confidentiality, and continuously honing my skills to stay at the forefront of the data science and engineering field.
DATA PRIVACY
Your confidentiality is my priority. I will ensure the security of your data and give recommendations on how to safeguard the project information.
HIRE ME FOR
- Data consulting, strategy development, and technology adoption
- Data integration and migration
- Database architecture and development
- ETL, ELT pipelines
- Real-time data streaming and batch processing pipelines
- Twitter Data retrieval through Twitter API v2 endpoints.
- Social Media Scraping
- Web Scraping/Data Mining and API Integration
- Data Analysis using Python, SQL, and PowerBI
- Storytelling through visualizations and dashboards
- Machine Learning - Regression, Classifications, and Sentiment Analysis
- Natural Language Processing using Google Cloud NL API, Azure, TensorFlow NLP
TECH-STACK
- Databases: PostgreSQL, MySQL, IBM DB2
- Search Engines: Elasticsearch
- Microsoft Services: Azure Synapse Studio, Azure Data Factory, Azure Databricks
- Data Streaming and Processing: Apache Kafka, Spark, Hadoop, Databricks
- Back-end: Rest API
- CI/CD: GitHub
- Web scraping: Scrapy, Selenium, Beautifulsoup
- Data Science Libraries - pandas, NumPy, scikit-learn, TensorFlow, PySpark, python-kafka,
Languages: Python, JavaScript, PHP, requests, NLTK, Keras, sqlalchemy, PyTorch
- Visualization and Dashboarding: Power BI, matplotlib, seaborn, plotly-dash, MS Excel, Tableau
- Cloud: MS Azure, AWS, Heroku
PERKS OF WORKING WITH ME
- Free modifications for full work satisfaction
- Fast-track delivery
- Complete data security (Non-disclosure agreement option)
- High-quality work and detailed reports
- Value for money and competitive pricing
- Affordable business solutions
- Cost reduction through using open-source libraries
Please feel free to share your requirements, and I'll get back to you within 1 business day with an accurate estimate of the time and costs needed to drive your project to completion.
Steps for completing your project
After purchasing the project, send requirements so Vishal can start the project.
Delivery time starts when Vishal receives requirements from you.
Vishal works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Cleaning
- Retrieve Twitter data based on specified keywords, hashtags, or mentions using the Twitter API. - Apply data cleaning techniques to remove noise, duplicates, and irrelevant information. - Ensure data integrity and standardization for analysis.
Exploratory Data Analysis
- Perform descriptive statistics on the collected data to gain initial insights. - Visualize tweet frequency, user engagement, and other relevant metrics. - Identify patterns, trends, and correlations within the data.