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Showing result 1 - 5 of 8 essays matching the above criteria.

  1. 1. 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

  2. 2. Summarization and keyword extraction on customer feedback data : Comparing different unsupervised methods for extracting trends and insight from text

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Therése Skoghäll; David Öhman; [2022]
    Keywords : Unsupervised learning; Natural Language Processing; Text Summarization; Keyword Extraction; K-means; YAKE!; BERT;

    Abstract : Polestar has during the last couple of months more than doubled its amount of customer feedback, and the forecast for the future is that this amount will increase even more. Manually reading this feedback is expensive and time-consuming, and for this reason there's a need to automatically analyse the customer feedback. READ MORE

  3. 3. Does The Content Format Matter? : A study of how Social Media Micro-Influencers’ content format persuades the followers’ information processing route in the Engagement and Purchase Intention

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

    Author : Chathushee Purnima Jayamila Horanage; Miia-Riikka Hautala; [2021]
    Keywords : Social media micro influencer; content format; persuasive messaging; engagement; purchase intention; Fashion beauty industry;

    Abstract : The increased importance of social media influencers in marketing activities has been evident in recent years. The purpose of the thesis was to understand the cognitive processing of social media micro influencers’ content and the resultant behavioral outcome of follower engagement and purchase intention. READ MORE

  4. 4. Preprocessing method comparison and model tuning for natural language data

    University essay from Högskolan Dalarna/Mikrodataanalys

    Author : Peter Tempfli; [2020]
    Keywords : Natural language processing; sentiment analysis; machine learning;

    Abstract : Twitter and other microblogging services are a valuable source for almost real-time marketing, public opinion and brand-related consumer information mining. As such, collection and analysis of user-generated natural language content is in the focus of research regarding automated sentiment analysis. READ MORE

  5. 5. Using Machine Learning to Detect Customer Acquisition Opportunities and Evaluating the Required Organizational Prerequisites

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

    Author : Olle Malmberg; Bobby Zhou; [2019]
    Keywords : Consumer decision journey; Customer acquisition Customer relationship management; Machine Learning; Organizational prerequisites; User activity; Random forest; XGBoost; Användaraktivitet; Consumer decision journey; Customer relationship management; Kundförvärv; Maskininlärning; Organisatoriska förutsättningar; Random forest; XGBoost;

    Abstract : This paper aims to investigate whether or not it is possible to identify users who are about change provider of service with machine learning. It is believed that the Consumer Decision Journey is a better model than traditional funnel models when it comes to depicting the processes which consumers go through, leading up to a purchase. READ MORE