VOLUME 9 Issue 9 VOLUME - 9 ISSUE - 9 SEPTEMBER- 2026
3. SOCIAL MEDIA SENTIMENT ANALYSIS USING WORD2VEC AND LONG SHORT TERM MEMORY NETWORK
Author: Janani S and Dr. Aruchamy Rajini
Social media platforms generate extensive user generated content that reflects public opinions, emotions, and experiences. Automatically identifying sentiment from such content is challenging because social media text frequently contains informal expressions, abbreviations, spelling variations, and contextual dependencies. This study proposes a Word2Vec LSTM based sentiment analysis framework for classifying social media content into positive, negative, and neutral sentiments. Initially, the collected social media data are preprocessed through text cleaning, tokenization, stop word removal, and normalization to reduce noise and improve the quality of the input data. Word2Vec is then employed to transform textual words into dense vector representations that capture semantic relationships between words.
View2. PERCEPTION OF MSMEs TOWARDS QUALITY OF APPS OF E LOGISTIC COMPANIES
Author: G.Senthil Kumar, Dr G Vignesh
This research examines MSMEs perceptions of the quality of applications used by e logistics companies, focusing on application performance, service quality, perceived effectiveness and user satisfaction. The research uses primary data collected through a structured questionnaire from 150 MSME respondents using e logistics applications. It also uses secondary data from journals, books, articles and online sources. The research use a descriptive research design and applies convenience sampling. Percentage analysis and descriptive statistics describe respondents profiles and perceptions, while one way ANOVA tests differences across work experience groups and primary application use categories.
View1. Digital Transformation in Nationalized Banks: An Empirical Study on Customer Adoption, Operational Efficiency, and Satisfaction in India
Author: Ms.M.K.Thushara, Dr.P.Dharmarajan
The banking industry worldwide has undergone an unprecedented shift toward digital platforms, and nationalized banks in India are no exception to this transformation. Digital transformation encompasses the integration of mobile banking, internet banking, Unified Payments Interface (UPI), artificial intelligence, and data driven decision making into core banking operations to enhance customer experience and streamline internal processes.
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