Curiosity · Syllabus

Sentiment Analysis in a B.Tech — syllabus & what you learn

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. Inside a four-year B.Tech, Sentiment Analysis arrives in layers: programming and mathematics foundations in years one and two, core methods next, and applied depth concentrated in years three and four plus the capstone. Using Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura's B.Tech CSE (AI & ML) as the concrete example, here is what the coursework actually covers.

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)

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.

Labs and infrastructure

  • Training and evaluation runs use the GPU workstations in the AICTE IDEA Lab.
  • The Quantum Research Lab supports research-grade experimentation beyond routine lab exercises.

What students actually build

  • Applied NLP tools are a named capstone category at VSET.
  • Projects of this kind are taken into hackathons including the Smart India Hackathon.

Frequently asked questions

When does Sentiment Analysis content actually start in a B.Tech?

Meaningful Sentiment Analysis content typically ramps up from the second or third year, after programming and mathematics foundations. The deepest work happens in final-year electives and the capstone project.

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

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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