|| Data Science || FIRST INTERNAL TEST || Full basic concept explained ||

📊 Unlocking the Power of Text Mining: Analysing Unstructured Data 🚀
In this video, we explore the fascinating world of text mining and how it empowers data science to analyse unstructured data like complaints, reviews, and more. Dive into these essential topics:
1️⃣ Unstructured Data Analysis
Discover how data science handles unstructured data, with a focus on text mining. Learn about data mining activities like sentiment analysis and topic modeling used to uncover insights.
2️⃣ Classifying Complaints Automatically
Learn how text mining techniques can automate the classification of written complaints. We'll break down the steps to identify IPC sections or Broad National Categories (BNS) from text.
💬 Example Case:
"Theft of my mobile phone by an unknown person at MG Road on 2023-02-20."
Find out how advanced algorithms can parse this complaint and classify it with precision.
3️⃣ Data Structures & Algorithms for Text Classification
Explore suitable data structures like hash maps, tries, and dictionaries, along with algorithms like TF-IDF, Naïve Bayes, and Support Vector Machines (SVM).
4️⃣ Applying Structures & Algorithms
See how these methods work together to effectively classify text and determine applicable legal sections with clarity and speed.
5️⃣ Measuring Success in Text Mining
Discover key metrics like precision, recall, F1-score, and accuracy that assess the performance of text mining techniques. We'll also dive into how these metrics ensure reliable and effective classification.
🔥 Watch this video to master text mining and take your understanding of unstructured data to the next level!
📌 Hashtags:
#TextMining #DataScience #MachineLearning #TextAnalysis #NaturalLanguageProcessing #IPCLaw #ComplaintClassification #UnstructuredData #DataMining #AIInLaw #TechForJustice #DataStructures #AlgorithmDesign #DeepLearning #AIExplained