Subject: Internship report submission on "Building a chatbot using the Chat-GPT API and sentiment analysis based on Reddit EDA.". I am pleased to inform you that I have tried my best to take every opportunity to fully analyze the topic assigned to me, "Creating a chatbot using the Chat-GPT API and sentiment analysis based on Reddit EDA.". This project explores creating a chatbot using Reddit data and the Chat-GPT API.
The project begins with a discussion of the background and development of chatbots and a description of the features of the Chat-GPT API. The benefits of using Reddit data and the Chat-GPT API to create a chatbot are also covered. However, integrating Reddit data and the Chat-GPT API to create a chatbot has several advantages, including the ability to generate responses that are more credible and logical, and access to a wealth of user-generated content for training.
Finally, suggestions are made for further study on creating chatbots using the Chat-GPT API and Reddit data. The project came to the conclusion that, despite some shortcomings, the integration of the Chat-GPT API with Reddit data offers. significant advantages in building chatbots, making it a suitable subject for further study.
Introduction
Based on the training data, the Chat-GPT API can then be used to provide excellent, natural-sounding responses. Describe the pros and cons of using the Chat-GPT API with Reddit data to create chatbots. Using the Chat-GPT API and Reddit data to create a chatbot has a number of advantages.
Additionally, the Chat-GPT API is a state-of-the-art language generation API that can provide responses that are excellent and human-like. It is possible to create chatbots that can chat with users in a way that is more natural and human-like by combining the Chat-GPT API with Reddit data. Also, creating a chatbot using Reddit data and Chat-GPT API can be economical and effective.
Ultimately, creating a chatbot using the Chat-GPT API and Reddit data can improve accuracy, productivity, and user experience, making it an important tool for many different applications. Chatbots are becoming more complex and capable of engaging in more human-like discussions with users, thanks to the advent of advanced language-generating APIs such as Chat-GPT.
Literature Review
34;A Review of Chat-GPT AI's Impact on Different Business Sectors." Partners Universal International Innovation Journal 1(1): 9-23. Our article is the first rigorous analysis of the Chat-GPT literature and provides insights for practitioners and policy makers information Language Generation: The Chat-GPT API can respond to text input with high-quality, natural-sounding answers, allowing it to participate in meaningful discussions with users.
Chat-GPT API supports a variety of languages, including English, Spanish, German, French, Italian, and Portuguese. Chat-GPT API can be fine-tuned for certain datasets, allowing to create responses targeted to specific domains or applications. Understanding the context of a discussion: The Chat-GPT API can understand the context of a conversation and create responses relevant to the current topic.
A variety of applications, including chatbots, virtual assistants, and customer support systems, can be integrated with the Chat-GPT API. Overall, the Chat-GPT API is a powerful natural language generator with features that make it suitable for a variety of applications.
Methodology
For the data collection for the posts we have used the above codes to get the data frame. Now we have the data in the form and we will need to convert it to csv format. Note: The data here is filtered and taken as cleaned data to be applied for further steps.
Depending on the use case and application, a different dataset can be used to train the Chat-GPT API model when developing a chatbot using Reddit data and the Chat-GPT API. It is crucial to remember that the quantity and quality of the data used to train the Chat-GPT API model can have a huge effect on how well the chatbot performs. Using the Chat-GPT API and Reddit data requires the use of a number of different tools and technologies.
It is the preferred language for creating chatbots that use the Reddit and Chat-GPT APIs. The Chat-GPT API developed by Open-AI uses natural language processing to produce text responses that resemble those of real beings in response to user inputs. It is a pre-trained language model that has been improved on a significant amount of textual data and can be used to provide logical and relevant answers to user queries.
It is often used in combination with PRAW to collect chatbot training data from websites, especially Reddit. To understand data visualization and data analysis drawing, WordCloud must be imported to see which topic is so focused and born in the data visualization sea. In order to use datasets very effectively, it is necessary to change the timestamp format to date format for annual analysis from the past.
Word Cloud is the module to visualize the data set where the most popular topic out of 3 is related to. To understand which sentiment analysis of specified topics are input to the algorithms, it is necessary to use a machine learning model, but it is not important to learn a machine learning model instead of using a pre-trained model is a good opportunity to get the results. Filtering comments and post titles is a must to get the specified word input for output, for example here using Chat GPT.
To integrate reddit EDA as a chatbot, the Chat-GPT 3.5 turbo API must be used to get the results. To use this chatbot, it is essential to use an OPEN-AI key API key:.
Results
Relevance: How effectively the responses produced answer the user's question or fulfill their desires is referred to as the chatbot's relevance. The importance of user input in contrast to that is based on the topics that AI is learning about, as a result here user data will always be connected and related to data science, Chat-GPT, Stable Diffusion etc. Reddit data is a great resource for chatbot training as it has a ton of real-world chat data that can be used to increase the relevance, accuracy and coherence of the responses produced.
A chatbot that can understand and successfully respond to user input can be created using the Chat-GPT API, a powerful natural language processing tool. A chatbot can be built to provide useful responses to consumers, making it an interesting and useful tool for customer contact. The quality and relevance of the Reddit data used to train the model is what determines how successful a chatbot is.
The chatbot's produced responses could not be accurate, understandable or relevant if the data set is not representative of the target user population. Open-AI has set a cap on the amount of API keys that can be used to access the Chat-GPT API, which means that if the limit is reached, the use of the chatbot may be restricted. Open-AI's tokenization approach has certain limitations, including the inability to tokenize texts that contain slang, colloquial language, or technical jargon.
Customer service can be automated using chatbots, which will lighten the load on customer support agents and speed up response times. By answering user questions with useful information, the chatbot can be used to increase consumer engagement and provide a better overall user experience. The chatbot can be flexible in how it adapts to different use cases and user bases, as it can be trained on different datasets of Reddit data.
Conclusion
Artificial Intelligence and Big Data: Ontological and Communication Perspectives in Multi-Sector Scenarios of Contemporary Enterprises. Patterns of drug administration and intervention for nonmedical opioid use: data mining and content analysis of Reddit discussions.
