Ann-Adeva Njambali

I am a passionate digital humanities enthusiast with a strong background in text analysis, sentiment analysis, and topic modelling. With hands-on experience managing large datasets, cleaning textual data, and creating compelling visualisations, I bring a meticulous and innovative approach to research. My academic journey reflects a dedication to blending technology and the humanities, including work on analysing newspaper articles and integrating sentiment trends with topic-based insights. I thrive on exploring new methods, uncovering patterns in data, and crafting meaningful narratives that bridge the gap between technology and the human experience.

I have extensive experience in digital humanities, specialising in text analysis, sentiment analysis, and topic modelling. My work involves managing large datasets, cleaning and preprocessing textual data, and using advanced tools like the syuzhet package for sentiment trends. I have also implemented workflows to categorise documents into topics, generate visualisations, and integrate insights for a deeper understanding of textual patterns. My background includes creating tokenised corpora for topic-specific analysis and working with diverse text sources such as newspaper articles. This hands-on experience has honed my analytical, organisational, and technical skills, enabling me to deliver impactful and accurate research outputs.

I hold a strong academic foundation in digital humanities, focusing on the intersection of technology and textual analysis. My studies emphasised mastering tools for sentiment analysis, topic modelling, and text preprocessing, equipping me with skills to manage large-scale datasets and derive meaningful insights. I explored advanced research techniques, including tokenisation, corpus creation, and visualisation of analytical results. My academic projects included analysing newspaper articles to identify sentiment trends and topic distributions, showcasing my ability to combine theoretical knowledge with practical applications. This education has instilled in me a meticulous approach to research and a passion for uncovering patterns in data.