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特化型機械学習（NLP/CV）

Perform sentiment analysis on text using NLP and computer vision techniques.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/y-nishizaki/skills --skill nlp-cv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 特化型機械学習（NLP/CV）
Source: https://github.com/y-nishizaki/skills/tree/main/src/analysis/data-science/advanced/specialized-ml
Command: npx skills add https://github.com/y-nishizaki/skills --skill nlp-cv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires janome, nltk, scikit-learn, gensim, transformers, Pillow, numpy, tensorflow, torch, detectron2.

What problem does it solve?

This Skill provides specialized expertise in Natural Language Processing (NLP) and Computer Vision (CV), enabling the development and application of advanced machine learning models for complex text and image data tasks.

Core Features & Use Cases

  • NLP Tasks: Guides through text preprocessing, vectorization (TF-IDF, Word2Vec, Transformers), and tasks like sentiment analysis, NER, summarization, and question answering.
  • Computer Vision Tasks: Covers image preprocessing, classification (ResNet50), object detection (YOLOv5), and segmentation (Mask R-CNN).
  • Transfer Learning: Utilizes pre-trained models (BERT, GPT, ResNet, VGG) and fine-tuning techniques to accelerate model development and improve performance.
  • Use Case: Build a sentiment analysis model to automatically categorize customer reviews as positive, negative, or neutral, or develop an object detection system to identify specific products in images.

Quick Start

Use the 特化型機械学習（NLP/CV） skill to perform sentiment analysis on a given text, classifying its emotional tone.