Kumaran1987

​​To develop a multi-level contextual classification model for English-to-Tamil sentiment analysis, incorporating Google's Gemma models can enhance performance, especially for Tamil language processing.​​ Here's a structured approach: 1. Data Preparation: Dataset Creation: ​​Compile a dataset containing English sentences, their Tamil translations, sentiment labels (positive/negative), and, for positive sentiments, an additional label indicating respect.​​ Example Data Structure: ​​| English Text                              | Tamil Translation                              | Sentiment | Respect (if Positive) | |-------------------------------------------|------------------------------------------------|-----------|-----------------------| | I am very happy to meet you               | உங்களை சந்திப்பதில் மிகவும் மகிழ்ச்சி           | Positive  | Respect               | | I am disappointed with your work          | உங்கள் வேலைக்கு நான் வருத்தப்படுகிறேன்          | Nega

I. Reading Comprehension (RC) Techniques 1. Skim First, Read Later: Quickly skim the passage to get a general idea before diving into details. 2. Identify the Main Idea: Focus on the overall theme of the passage. 3. Look for Transition Words: Words like However, Thus, Therefore signal shifts in arguments. 4. Understand the Author’s Tone: Identify whether it is analytical, critical, optimistic, etc. 5. Focus on Opening & Closing Sentences: These often contain key information. 6. Analyze Passage Structure: Determine whether the passage follows an argumentation, cause-and-effect, or comparison structure. 7. Underline Keywords: Underline or note important facts and figures while reading. 8. Read Paragraph by Paragraph: Break the passage into manageable sections. 9. Map the Passage: Create a mental map of the passage to remember key points. 10. Identify Factual vs. Inferential Information: Recognize what’s stated explicitly vs. implied. 11. Avoid Assumptions: Base

CAT Exam Preparation Coherent Plan 1. Understand the CAT Exam Structure    - Sections: CAT has three sections:      1. Verbal Ability & Reading Comprehension (VARC)      2. Data Interpretation & Logical Reasoning (DILR)      3. Quantitative Aptitude (QA)    - Duration: 2 hours (40 minutes per section)    - Marking: +3 for correct answers, -1 for incorrect answers (MCQs only), no negative marking for non-MCQs. 2. Preparation Timeline & Schedule Phase 1: Build Foundations (Months 1-2)    - Focus on strengthening the basics in each section.    - Quantitative Aptitude: Cover topics like arithmetic, algebra, geometry, and number systems.    - Data Interpretation & Logical Reasoning: Practice different types of puzzles, data sets, and logical reasoning exercises.    - Verbal Ability & Reading Comprehension: Start reading newspapers, editorials, and novels to improve reading speed and comprehension.    Daily Plan:    - 2 hours of QA: Topic-wise conceptual clari

Eligibility for Part-Time MBA Programs Most of the top IIMs offering part-time MBA programs accept CAT scores as a key part of their admission criteria. However, some programs also consider scores from GMAT, GRE, or the institute's own entrance exam. Here’s an overview: 1. Eligibility Criteria:    - Work Experience: Generally, candidates need to have a minimum of 3-5 years of work experience to be eligible for part-time programs.    - CAT/GMAT/GRE Scores: Many programs require a valid CAT score, while others accept GMAT or GRE.    - Bachelor’s Degree: A minimum of 50% marks in the undergraduate degree is usually required. There are relaxed criteria (45%) for SC/ST/PwD candidates. Free Merit-Based Scholarships While part-time programs at IIMs do not typically offer full merit-based scholarships, there are financial aid and fee concessions available, including: 1. Merit-Based Scholarships:    - IIMs usually have scholarships for full-time programs but less frequently for part-tim