Curiosity · After 12th
How to learn Sentiment Analysis after 12th in Delhi
Sentiment analysis classifies the attitude expressed in a piece of text — positive, negative, neutral, or finer emotional categories — often at the level of specific aspects rather than whole documents. It is the classic entry project into applied NLP. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Sentiment Analysis coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Sentiment Analysis
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Sentiment Analysis depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Sentiment Analysis
Sentiment analysis classifies the attitude expressed in a piece of text — positive, negative, neutral, or finer emotional categories — often at the level of specific aspects rather than whole documents. It is the classic entry project into applied NLP. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Sentiment analysis sits within the NLP material published at learn.engineering.vips.edu.
- It is the standard first application of the supervised learning and text-classification foundations in the same curriculum.
- The transformer and LLM content covers the modern approach, where a pre-trained model is fine-tuned or prompted rather than trained from scratch.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where Sentiment Analysis skills lead
Graduates applying Sentiment Analysis skills typically target roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, Analytics Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn Sentiment Analysis after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Sentiment Analysis-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is sentiment analysis part of the NLP coursework?
Yes — it falls inside the NLP material published at learn.engineering.vips.edu, and is the usual first applied text-classification project.
Is it too basic for a capstone?
As a plain classifier, often yes. Aspect-level sentiment over real data, or sentiment inside a larger RAG or agent system, is the level the capstone pattern expects.
What is the modern approach taught?
Fine-tuning or prompting a pre-trained transformer rather than training a classifier from scratch — consistent with the LoRA and prompt engineering material in the curriculum.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31