Mini Project
Data Science
Personal Finance Analytics
Statement parsing, auto-categorisation and spend forecasting
- Python
- Pandas
- Prophet
- Streamlit
- +2
₹2,299₹3,999
4.5/198 reviews
Data Science · Mini Project
Social Sentiment Dashboard
Track opinion on a topic over time, with aspect breakdown
2 weeks build
Overview
Pick a topic, ingest posts about it, and watch sentiment move. Goes past positive-negative to aspect-based analysis — what people praise versus what they complain about — with trend charts, keyword clouds and spike detection tied back to the posts that caused them.
What makes it stand up
- 01Aspect-based sentiment, not just one overall polarity score
- 02Spike detection that surfaces the posts behind a swing
- 03Works from a bundled dataset, so no paid API is required
- 04Sarcasm and code-mixed text discussed honestly as limitations
- 05Interactive dashboard with date filtering and drill-down
Module breakdown
- 01
Ingestion
Loading, cleaning and deduplicating posts.
- 02
Analysis
Transformer sentiment plus aspect extraction.
- 03
Trends
Time series, moving averages and spike detection.
- 04
Dashboard
Filters, charts and drill-down to source posts.
After this, you will be able to
- Explain aspect-based sentiment versus plain polarity
- Show a sentiment spike and name its cause
- Discuss why sarcasm and Hinglish break the model
Technology stack
- Python
- Pandas
- Transformers
- Plotly
- Streamlit
- Level
- Mini Project
- Domain
- Data Science
- Build time
- 2 weeks
- Difficulty
- Rating
- 4.6 / 5 · 238
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support