“情绪分析”采用BERT模型自动对Yelp评论进行情绪分类，使企业能够有效地衡量和提高客户满意度。
"Sentiment Analysis" employs the BERT model to automate sentiment classification of Yelp reviews, enabling businesses to efficiently gauge and improve customer satisfaction. (2024-04-09, Jupyter Notebook, 0KB, 下载0次)
在当今的数字时代，Twitter等社交媒体平台已经成为公众舆论和情感的宝库。了解推文背后的情绪可以为企业、研究人员和决策者提供宝贵的见解。在这个项目中，我使用了自然语言工具包（NLTK），这是一个强大的文本分析库。
In today s digital age, social media platforms like Twitter have become a treasure trove of public opinion and sentiment. Understanding the sentiment behind tweets can provide valuable insights for businesses, researchers, and policymakers alike. In this project, I employed Natural Language Toolkit (NLTK), a powerful library for text analysis. (2024-03-05, Jupyter Notebook, 0KB, 下载0次)
Twitter情感分析，使用NLP和ML，将推文分类为积极、消极或中性。尽管tweet简短，但算法可以识别情绪基调，为企业、决策者和研究人员提供实时见解，以根据公众意见、品牌感知和对事件的 React做出知情的数据驱动决策。
Twitter sentiment analysis, employing NLP and ML, categorizes tweets as positive, negative, or neutral. Despite tweet brevity, algorithms discern emotional tones, offering real-time insights for businesses, policymakers, and researchers to make informed, data-driven decisions based on public opinion, brand perception, and reactions to events. (2024-01-08, Jupyter Notebook, 0KB, 下载0次)
该项目提供了一个端到端框架，用于开发具有最小标记训练数据的生产就绪聊天机器人。它支持在不访问大型数据集的情况下为企业构建对话人工智能。
This project provides an end-to-end framework for developing production-ready chatbots with minimal labeled training data. It enables building conversational AI for businesses without access to large datasets. (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
设计并实现了一个使用NLP和Yelp评论的机器学习的高精度情感分析系统，在情感分类中实现了82%以上的准确性，为企业提供了可操作的见解。
Designed and implemented a high-accuracy sentiment analysis system using NLP and machine learning on Yelp reviews, achieving over 82% accuracy in sentiment classification, providing actionable insights for businesses. (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
我在伦敦大学城学院的硕士学位期间承担的所有项目。所选模块包括数据科学原理、机器学习、视觉分析、神经计算、大数据、自然语言处理、深度强化学习、计算机视觉和我的最后一年项目。
All the projects undertaken within my masters at City, University of London. Modules taken are Principles of Data Science, Machine Learning, Visual Analytics, Neural Computing, Big Data, Natural Language Processing, Deep Reinforcement Learning, Computer Vision and my final year Project. (2023-12-21, Jupyter Notebook, 0KB, 下载0次)
情绪分析对于企业了解客户意见、监控品牌声誉和做出数据驱动的决策非常有价值...，
Sentiment analysis is very valuable for businesses to understand customer opinions, monitor brand reputation, and make data-driven decisions. This can also be used in social media monitoring, product feedback analysis, and market research. (2023-10-07, Jupyter Notebook, 0KB, 下载0次)
介绍我们的尖端语言翻译模型，这是一种开创性的人工智能解决方案，彻底改变了全球通信和中断...，
Introducing our cutting-edge Language Translation Model, a groundbreaking AI solution that revolutionizes global communication and breaks down language barriers. (2023-09-29, Jupyter Notebook, 0KB, 下载0次)
PLDA定期项目的私人回购。使用NLP技术分析Amazon产品评论情绪。旨在帮助企业了解客户...，
Pvt repo for PLDA term project. Analyzing Amazon product reviews sentiment using NLP techniques. Aiming to help businesses understand customer sentiment. Code includes preprocessing, classification & evaluation in Python. Access limited to team & instructor. (2023-05-20, Jupyter Notebook, 0KB, 下载0次)
情绪分析是将客户的评论或评论分类为积极、消极和中立。大多数企业分析...，
Sentiment analysis is the classification of a customer s reviews or comments as positive, negative, and neutral. Most businesses analyze their customers feelings about their products or services to find out what their customers want from them. (2022-06-23, Jupyter Notebook, 0KB, 下载0次)
回答与课程《企业、市场和全球动态》（基于OpenAI的API）相关的问题的机器人程序，
Bot that answers questions related to the course Firms, Markets and Global Dynamics (based on OpenAI s API), (2023-08-11, Jupyter Notebook, 0KB, 下载0次)
对于预算有限的小型企业，对于初学者、新入职的学生...
Data exploration is an artful process of sifting over through the dataset and extracting meaningful insights from it. In a machine learning process, the data understanding phase consumes most of the time, making it a major bottleneck for many applications and Automated Machine Learning (Auto ML) platforms. Data exploration is hard as we do not (2021-03-06, Jupyter Notebook, 883KB, 下载0次)
识别公众舆论对企业来说是一个强大的工具。考虑到这一点，用户数据已经变得非常容易访问...
Identifying public opinion can be a powerful tool for businesses. With that in mind, user data has become hugely accessible throughout many different social media platforms. This task focuses heavily on text processing. The data source for this task is a 1-month collection of twitter tweets (July 1 2019 - July 31 2019) throughout London. Each (2019-09-17, Jupyter Notebook, 5089KB, 下载0次)
提高企业、购物中心、办公室或任何有社区的地方的人们的幸福率。W...
To increase the happiness rate of people in businesses, shopping centres, offices or wherever there is a community. With the deepface library, it performs emotional analysis based on 100 photographs taken.? (2023-04-17, Jupyter Notebook, 104KB, 下载0次)
在摩洛哥（Darija）的背景下，情绪分析可以成为企业和组织的宝贵资产...
In the context of Morocco (Darija), sentiment analysis can be an invaluable asset for businesses and organizations looking to better understand the satisfaction of their customers. We will fine-tune a model for Darija (2023-05-07, Jupyter Notebook, 191KB, 下载0次)
在Twitter上监控新手机的接收情况，以帮助企业降低失败风险并提高产品质量...
Monitor the reception of a new mobile phone on Twitter to help a business reduce its risk of failure and improve product quality using Machine Learning Sentiment Analysis (2021-02-12, Jupyter Notebook, 22099KB, 下载0次)
Bangla_Text_Classification_Utilizing_CN_with_Bi-LSTM，该项目在包含注释Bangla文本的数据集上提出了情感的二元分类。A d...
This project is presented a binary classification of sentiment on a dataset that contains annotated Bangla texts. A deep learning-based hybrid network with CNN with Bidirectional LSTM is used. (2023-03-21, Jupyter Notebook, 747KB, 下载0次)
Company_Classification，Company_Cclassification_聚类问题声明：我们得到了各种企业和公司的网络抓取数据...
Company_Classification_Clustering Problem Statement : We are given with web scraped data of various businesses and companies. We need to somehow categorize these businesses and companies across a standard taxonomy (consists of term names and labels that are specific to an organization s information and unique to how that business operates). So (2021-06-15, Jupyter Notebook, 12805KB, 下载0次)