Fake Review detection on YELP dataset python machine-learning fake-review-detection Updated Mar 4, 2024 Python yashpandey474 / Identification-of-fake-reviews Star 11 Code Issues Pull requests Fake review detection using machine learning and deep learning techniques such as CNNs, SOMs, K-mea...
pythonmachine-learningfake-review-detection UpdatedMar 4, 2024 Python Star0 Our study utilizes BERT and LSTM models alongside Monte Carlo Dropout (MCD) on the Yelp Labelled Dataset. MCD bolsters robustness by introducing uncertainty through neuron dropout. The BERT-embedded MCD achieves an impressive...
We then report on the results along the research questions: fake review market in Section 3, characteristics in Section 4, and automated detection in Section 5. Afterwards, we discuss the implications and limitations of our findings in Section 6. Finally, we survey related work in Section 7 ...
Table 1. Fake news detection accuracies attained in previous works AuthorData sourceFeaturesMethod/AlgorithmsResult [20] Snopes, Politifact, Buzzfeed User profile, user activity, network and spreading, content URL wise classification,Cascade wise classification 92.70 [22] Online user review Word2vec +...
Code, and set up Python and Jupyter Notebook extensions. Learn to install and import Python libraries. Build a GUI with Tkinter, including a progress bar, control panel, and detection tool. Test the Data Scanning Tool with random data. Set up and configure MySQL server and MySQL Workbench. ...
context information, such as who shared the news, how it spread through the network, and the connections between engaged users [23,53,83]. Given the complexity of fake news detection models, in recent years, the focus has also been on designing explainable fake news detection methods [17,37...
2. Literature review This section presents the previously published research articles and methods for fake news campaigns and spam post-detection on social media platforms. The selection involved a staged process illustrated in Fig. 2. Download: Download high-res image (369KB) Download: Download ful...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Here, we use a dataset of 171 million tweets in the five months preceding the election day to identify 30 million tweets, from 2.2 millio
A Project about Predicting the Number of Fake Reviews with Grades of an e-commerce website called Amazon using Machine Learning Models like Bert & XLnet. - ImmanuelSandeep/Transofrmer-Based-Fake-Review-Detection
Code Issues Pull requests Basic NLP tasks with Python, End-to-end sentiment analysis, Fake news detection, personality prediction, Span Filtering, Text classification, Topic modeling, Twitter sentiment analysis, Yelp review, etc with NLP sentiment-analysis spam-filtering spacy-nlp personality-predicting...