Category: Learning modules
Rule-based sentiment analysis is a pragmatic choice for specific use cases, especially where transparency, speed, or cost matter.
basics of sentiment analysis, module-56, python-codingLexical normalisation is the process of converting noisy, informal, or misspelled text into its standardized form.
basics of sentiment analysis, module-56, python-codingNatural language processing is a field of AI that deals with the interaction between computers and human language. It helps machines understand, interpret, and generate human language
basics of sentiment analysis, module-56Intensifying competition, affordable prices, and easy access to finance have triggered exponential growth in the automobile sector over the last half-century. This has brought the spotlight to the issue of environmental sustainability, to maintain the availability of resources for a long time.
literature review, module-50, systematic reviewSentiment analysis helps to detect different emotions like happiness, anger, or sadness in a phrase or text like product review, feedback, comments or opinions in a social network.
basics of sentiment analysis, module-56, python-codingAs the world becomes increasingly interconnected, stakeholders of business ventures, both internal and external, must also be always-on, and always connected. Bennis et al., 2008; Tapscott and Ticoll, 2003 This approach ensures that new business ventures should communicate their actions and intentions. Maintaining transparency is important because without it, stakeholders such as investors and suppliers, […]
module-48, systematic reviewEnvironmental sustainability plays a critical role in shaping the global sustainability agenda, particularly in the realization of the Sustainable Development Goals (SDG). Carbon emissions, wastewater disposal, energy usage, and waste management remain the top concerns, alongside issues such as labour exploitation, institutional transparency, accountability principles, and community welfare.
empirical review, literature review, module-50, systematic reviewHandling errors is the process of anticipating, detecting, and resolving errors or exceptions that may occur during the execution of a program.
module-49, programming foundations, python-coding, sample program