Essays about: "Document Frequency Analysis"

Showing result 1 - 5 of 29 essays containing the words Document Frequency Analysis.

1. 1. Natural Language Processing on the Balance of theSwedish Software Industry and Higher VocationalEducation

   University essay from Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

   Author : Emil Bäckstrand; Rasmus Djupedal; [2023]
   Keywords : Swedish Software Industry; Higher Vocational Education; Software Engineering; Latent Dirichlet Allocation; Document Frequency Analysis;

   Abstract : 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. READ MORE

3. 2. Narratives for Climate Change Communication in Official Policy Reviews and Suggested Improvements to Aid Sustainable Energy Transition

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Paula Tamussino; [2023]
   Keywords : Sustainable Development; Climate Change Communication; Narrative Research; Strategic Narratives;

   Abstract : 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. READ MORE

4. 3. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
   Keywords : Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

   Abstract : 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. READ MORE

5. 4. Virtual alignment of real-world objects

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Tommy Ekberg; William Ekelund; [2023]
   Keywords : Ultra-wideband; Indoor positioning system; Document survey; NLoS; Multisensor; Trilateration; Localization;

   Abstract : 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. READ MORE

6. 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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Karlstrand; [2022]
   Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

   Abstract : 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. READ MORE