Hotel Sentiment Analyzer是一个基于Python的应用程序，旨在生成和分析酒店评论，重点关注食品和烹饪。该项目利用情绪分析来深入了解客户对不同酒店提供的各种菜肴的意见。
Hotel-Sentiment-Analyzer is a Python-based application designed to generate and analyze hotel reviews with a focus on food items and cuisines. The project leverages sentiment analysis to provide insights into customer opinions about various dishes served in different hotels. (2024-07-28, Python, 0KB, 下载0次)
基于播客中的问答对话生成更好的面试问题的ML解决方案。
An ML solution for generating better interview questions based on Q&A dialogue in podcasts. (2024-07-22, HTML, 0KB, 下载0次)
利用NLP建立了各种分类模型来预测用户对酒店的满意度。
Using NLP we built various classification models to predict satisfaction ratings of the users visiting hotels. (2024-06-05, Jupyter Notebook, 0KB, 下载0次)
博伽梵-吉塔-查特博特：将古代智慧带入数字时代。这是一个聊天机器人，它将帮助它的用户提出关于薄伽梵歌吉塔PDF的问题，聊天机器人将根据书中的知识回答他们。
Bhagavad Gita Chatbot: Bringing Ancient Wisdom to the Digital Age. This is a chatbot that will help it s users to ask questions about the Bhagavad Gita PDF and the chatbot will answer them based on the knowledge of the book. (2024-05-29, Jupyter Notebook, 0KB, 下载0次)
极客时间 - 大模型应用开发实战课: 展现LLM应用开发之强大
Geek time - big model application development practical course: show the power of LLM application development (2024-05-24, Jupyter Notebook, 0KB, 下载0次)
桜井政博のケ?ーム作るにはの新着動画をDiscordに通知するbot
桜ケ?ームムるにははをににににににソ〧〧〧す〧〧にににににソにに (2024-05-20, Python, 0KB, 下载0次)
tripadvisor酒店评论csv数据集上的自然语言处理（NLP）简单情感分析（SA）
Just a Natural Language Processing (NLP) simple Sentiment Analysis (SA) on tripadvisor hotel reviews csv dataset (2024-04-29, Jupyter Notebook, 0KB, 下载0次)
播客摘要生成器：一个动态web应用程序，提供简明的播客摘要和情感分析。使用Python Flask构建后端，使用AWS构建NLP，使用Terraform构建自动化。利用高级模型增强用户体验和内容理解。
Podcast Summarizer: A dynamic web app offering concise podcast summaries and sentiment analysis. Built with Python Flask for backend, AWS for NLP, and Terraform for automation. Utilizes advanced models for enhanced user experience and content comprehension. (2024-02-22, HCL, 0KB, 下载0次)
使用OpenAI模型从播客的插曲中总结和提取有趣的信息，
Summarize and extract interesting information from a podcast s episode using OpenAI models, (2023-08-16, Jupyter Notebook, 0KB, 下载0次)
在Discord语音频道上播放任何歌曲或播客的Discord bot。
A Discord bot that plays any song or podcast on a Discord voice channel. (2023-04-08, TypeScript, 176KB, 下载0次)
Chatbot para colegio ET32 creado con html css y php（查特博特para colecio ET32克里多con html css y php）
Chatbot para colegio ET32 creado con html css y php (2022-07-07, PHP, 3390KB, 下载0次)
可以推荐行程、航班和酒店的聊天机器人
A chatbot which can recommend itineraries, flights and hotels (2022-07-05, Jupyter Notebook, 638KB, 下载0次)
Creando un Chatbot en Python en pocos minutos（克雷安多·恩·查特博特·恩·Python-恩·波科斯·米努托斯）
Creando un Chatbot en Python en pocos minutos (2017-11-26, Jupyter Notebook, 9KB, 下载0次)
情绪分析基于评论的酒店预订应用后端（.net核心api、ML.net、ONNX）A级+
Sentiment analysis reviews-based Hotel booking app backend with (.net core api , ML.net, ONNX) Grade A+ (2023-02-03, C#, 1145KB, 下载0次)
分析基于方面的情感提取向酒店评论的转移
Analyzing the transfer of aspect-based sentiment extraction to hotel reviews (2019-03-13, Java, 71837KB, 下载0次)
使用indoBERT对印度尼西亚巴哈萨（Bahasa Indonesia）酒店评论的情绪分析
Sentiment analysis of hotel reviews in Bahasa Indonesia (Indonesian) using indoBERT (2021-02-12, Jupyter Notebook, 808KB, 下载0次)
maxmatch，在科罗拉多大学博尔德分校的自然语言处理类中使用maxmatch算法的确定性分割
maxmatch,Deterministic Segmentation using the MaxMatch algorithm for Natural Language Processing class at CU Boulder (2015-09-16, Python, 1096KB, 下载0次)
教学机器阅读理解，科罗拉多大学博尔德分校|5622项目
Teaching-Machines-Reading-Comprehension,CU Boulder | 5622-Project (2018-05-05, Jupyter Notebook, 91KB, 下载0次)
Travel Assist，R Shiny应用程序，带有NLP后端，根据客户基于实体的情绪推荐酒店
Travel-Assist,R Shiny application with NLP backend to recommend hotels based on entity based sentiments of the customers (2017-12-01, R, 17KB, 下载0次)
酒店评论情绪分析，。。。预定义的类别。在这里，我们试图对“booking.com”酒店评论进行有效的评论情绪分析...
Web-based travel scheduling and booking has become one of the major commercial uses.Hotel booking websites use online rating and customer input to support the decision-making process of the client, but reviews provide a better insight into the hotel, but most travelers do not have time or patience to read all reviews. This research analyzes the ... (2019-12-23, JavaScript, 12838KB, 下载0次)