Скачать или смотреть SMDA Unit 5 Notes | Social Media Data Analytics | Easy Hinglish | B.Tech 3rd Year

SMDA Unit 5 Notes | Social Media Data Analytics | Easy Hinglish | B.Tech 3rd Yea

Yeh notes specially B.Tech 3rd year ke students ke liye banaye gaye hain – subject *Social Media Data Analytics* ka Unit 5. Hinglish language Unit 5 – *Social Media Data Mining & Sentiment Analysis*

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🔹 1. *Social Media Data Mining:*

Social media se useful data extract karna – isse *data mining* kehte hain.
Purpose: *Patterns**, **trends**, aur **user behavior* samajhna.

*Tools used:*

Python (libraries: `tweepy`, `beautifulsoup`, `pandas`)
R (for statistical analysis)
APIs (Twitter API, Facebook Graph API)

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🔹 2. *Text Mining on Social Media:*

Textual content jaise tweets, posts, comments analyze karna.
Steps:

*Data Collection*
*Preprocessing* (cleaning, stopwords removal, stemming)
*Feature Extraction* (TF-IDF, Bag of Words)
*Modeling* (classification, clustering)

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🔹 3. *Sentiment Analysis:*

Text ka *positive, negative ya neutral* tone nikalna.
Techniques:

*Lexicon-based* (dictionary of words with sentiment score)
*Machine Learning-based* (SVM, Naive Bayes)
*Deep Learning-based* (LSTM, BERT)

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🔹 4. *Opinion Mining:*

Public opinion ko analyze karna based on reviews, tweets etc.
Focuses on:

Subjectivity analysis
Opinion target extraction

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