FRAMEWORKS & TEMPLATES

Research, distilled for practice.

Frameworks and templates for adopting Artificial Intelligence, developed through extensive study and years of expertise.

  1. HATE SPEECH & HARMFUL CONTENT

  2. Hate Speech Detection in Selected Social Media: A Case of Urdu Language

    Syed Irtaza Muzaffar, Dr. Khurram Shahzad

    LinkedIn
    UrduPECA ActHate Speech

  3. Hate Speech Detection in Roman Urdu

    Muhammad Moin Khan, Dr. Khurram Shahzad

    LinkedIn
    Roman UrduHate Speech

  4. Inter-Faith, Sectarian and Ethnic Hatred Detection in Urdu Tweets

    Muhammad Hammad Akram, Dr. Khurram Shahzad

    LinkedIn
    UrduPECA ActInter-FaithSectarianEthnic

  5. Abusive Language Detection in Roman Urdu

    Muhammad Naveed, Dr. Khurram Shahzad

    LinkedIn
    Roman UrduAbusive Language

  6. Threat Detection in Urdu Tweets

    Ayesha Fatima, Dr. Khurram Shahzad

    UrduThreat

  7. Radicalization Detection on Social Media in Urdu

    Muhammad Adeel, Dr. Khurram Shahzad

    LinkedIn
    UrduRadicalization

  8. Detection of Multilingual Hateful Content Against Armed Forces

    Anisa Rehman, Dr. Khurram Shahzad

    LinkedIn
    MultilingualPECA Act

  9. Misogynistic Content Detection in Social Media: A Study in Urdu Language

    Anoosha Tanseer, Dr. Khurram Shahzad

    LinkedIn
    UrduPECA ActMisogynistic Content

  10. Effective Data Augmentation Using LLMs for Hate Speech Detection in Roman Urdu

    Mehak Mehmood, Dr. Khurram Shahzad

    LLM Augmentation
  1. SENTIMENT & EMOTION

  2. Multilingual Emotion Analysis: A Case of Roman Urdu and English

    Muhammad Abdullah Ilyas, Dr. Khurram Shahzad

    LinkedIn
    Roman Urdu - EnglishEmotion Analysis

  3. Emotion Analysis in Roman Urdu

    Ghazal Shehbaz, Dr. Khurram Shahzad

    Roman UrduEmotion Analysis

  4. A Data‑Driven Approach to Improve ML Effectiveness: Roman Urdu Sentiment Analysis

    Muhammad Shuja, Dr. Khurram Shahzad

    LinkedIn
    Roman UrduSentiment Analysis

  5. A Fine‑Grained Sentiment Analysis for Urdu Text

    Amara Nasir, Dr. Khurram Shahzad

    LinkedIn
    UrduSentiment Analysis

  6. Regret Detection in Urdu Texts

    Taqi Javed, Dr. Khurram Shahzad

    LinkedIn
    UrduRegret Detection

  7. Detecting Fear‑Evoking Sentences in Roman Urdu

    Muhammad Anas, Dr. Khurram Shahzad

    Roman UrduFear‑Evoking
  1. RETRIEVAL, LANGUAGE RESOURCES & OCR

  2. Development of an Information Retrieval Benchmark for Urdu

    Saba Shaukat, Dr. Khurram Shahzad

    ResearchGate
    UrduIR Benchmark

  3. Information Retrieval for Urdu Documents

    Armeen Ashraf, Dr. Khurram Shahzad

    UrduInformation Retrieval

  4. RUeets: Development and Analysis of a Large Corpus of Roman Urdu Tweets

    Aymen Fatima, Dr. Khurram Shahzad

    Roman UrduCorpus

  5. Urdu Named Entity Recognition: Corpus Generation and Deep Learning Applications

    Safia Kanwal, Dr. Khurram Shahzad

    Kaggle
    UrduNER Corpus

  6. Named Entity Recognition for Punjabi Shahmukhi

    Tayyab Ahmad, Dr. Khurram Shahzad

    ResearchGate
    Punjabi ShahmukhiNER Corpus

  7. Author Attribution in the Urdu Language

    Muhammad Zulqarnain Nazir, Dr. Khurram Shahzad

    LinkedIn
    UrduAuthor Attribution

  8. Multi‑Level and Multi‑Script Urdu OCR Corpus and Effectiveness of Deep Learning Techniques

    Tayyab Nasir, Dr. Khurram Shahzad

    arXiv
    UrduOCR
  1. MODELS & EMBEDDINGS

  2. Urdu Word Embeddings

    Pre‑trained word vectors for Urdu, suitable for downstream NLP tasks.

    Google Drive
    UrduEmbeddings

  3. MK-PUCIT NER Dataset

    Urdu Named Entity Recognition corpus — available on Kaggle.

    Kaggle
    UrduNER Corpus