Capability · Internships

Sentiment Analysis internships for B.Tech students in Delhi

Sentiment Analysis internships go to students who can show working code, not just a transcript. For B.Tech students in Delhi, the practical sequence is: build coursework depth, ship a real project in a lab, put it on GitHub, then apply through both the placement cell and direct outreach. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, the coursework side is documented coursework depth inside B.Tech CSE (AI & ML), with project work running through the AICTE IDEA Lab.

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)

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.

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.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

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.

Frequently asked questions

When should I start applying for Sentiment Analysis internships?

Most students target the summer after second or third year. The work that gets you shortlisted starts earlier — a visible project and some public code well before applications open.

What do Sentiment Analysis internship recruiters actually look at?

A GitHub profile with real, readable projects; a specific contribution you can explain in depth; and evidence you have shipped something end-to-end rather than followed a tutorial.

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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