Sökning: "Document Frequency Analysis"
Visar resultat 1 - 5 av 48 uppsatser innehållade orden Document Frequency Analysis.
1. Natural Language Processing on the Balance of theSwedish Software Industry and Higher VocationalEducation
Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)Sammanfattning : The Swedish software industry is fast-growing and in needof competent personnel, the education system is on the frontline of producing qualified graduates to meet the job marketdemand. Reports and studies show there exists a gapbetween industry needs and what is taught in highereducation, and that there is an undefined skills shortageleading to recruitment failures. LÄS MER
2. Narratives for Climate Change Communication in Official Policy Reviews and Suggested Improvements to Aid Sustainable Energy Transition
Kandidat-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : There is a considerable gap between what scientists argue is necessary to avoid the most dramatic consequences of climate change and what governments around the world are currently achieving with their mitigation strategies and national pledges. This is partly due to the general inability to communicate solutions to climate change in a desirable way. LÄS MER
3. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. LÄS MER
4. Virtual alignment of real-world objects
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : High accuracy localization of objects is a crucial function for many modern applications, such as virtual and augmented reality, robotics, and self-driving cars, among others. This requires determining precise location of objects indoors, which is a challenging task. LÄS MER
5. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER