In the tumultuous post-independence period, a striking majority of India's population, estimated at approximately 70%, languished in dire poverty. As we transition into a new era, this disconcerting statistic has seen significant improvement. Today, we estimate the poverty rate at a comparatively diminished figure, around 15%. How did this remarkable shift transpire? To trace the roots of this evolution, we must journey back to India's nascent days as an independent nation. In the wake of 1947, India adhered to a unique socio-economic framework termed 'Democratic Socialism'. This compelling doctrine embodied a few salient principles: The fusion of private enterprise and societal welfare: Democratic socialism actively encouraged the participation of the private sector but insisted that it must work toward social advancements alongside economic prosperity. This approach reflects the ethos of successful cooperative movements such as Amul, which has revolutionized the dairy...
Basic Introduction to Sentic Computing: Sentic computing is an interdisciplinary field that combines affective computing (emotions and feelings) and commonsense computing to analyze sentiments and opinions on the web effectively. Its goal is to enhance the recognition, interpretation, and processing of sentiments by leveraging computer science and social science techniques. Key Models and Resources: a) The Hourglass of Emotions: The Hourglass of Emotions is a popular model used in sentic computing. It represents emotions as a hierarchy, ranging from basic emotions (e.g., joy, anger) to complex emotions (e.g., love, guilt). This model helps in understanding the relationships and transitions between different emotional states. b) Sentic Patterns: Sentic Patterns are linguistic patterns or templates that capture the expression of sentiments in text.They are useful for sentiment analysis as they provide a way to identify and extract sentiment-related information from text. For example, a p...