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NVIDIA Twitter Mentions Dataset
Social Media and Networking
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Free
About
This dataset provides 100,000 tweets that mention NVIDIA, collected during 2022 and 2023. It is designed to support sentiment analysis on natural language sentences, which can significantly enhance the accuracy of market prediction. The dataset acknowledges that financial markets are notably influenced by investor sentiments, and many investment decisions are based on information from public sources or intuitive judgements.
Columns
- Datetime: This column indicates the date and time when the tweet was posted.
- Tweet Id: This column contains the unique identification number for each tweet.
- Text: This column holds the full content of the tweet.
- Username: This column specifies the Twitter username of the individual who sent the tweet.
Distribution
The data file is typically provided in a CSV format. This dataset comprises 100,000 tweets. While the total number of rows is approximately 100,000, specific daily record counts are available, showing variations in tweet volume across different dates. The dataset covers a time span from 21st November 2022 to 6th February 2023.
Usage
This dataset is ideally suited for various applications, including:
- Conducting sentiment analysis to gauge public opinion and investor sentiment towards NVIDIA.
- Developing and testing models for market prediction, particularly in relation to technology stocks.
- Performing natural language processing (NLP) tasks such as text classification, topic modelling, and entity recognition on social media data.
- Applying time series analysis to understand trends and patterns in tweet volumes and sentiment over time.
Coverage
The dataset has a global reach, collecting tweets without specific geographic limitations. It includes tweets from a time range spanning from November 2022 to February 2023. No specific demographic information about the tweeters is provided, as it covers a general user base on Twitter mentioning NVIDIA.
License
CC0
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and refining sentiment analysis models and NLP applications.
- Financial Analysts and Traders: To inform investment decisions by integrating social media sentiment into their market prediction strategies.
- Academic Researchers: For studies on social media influence, market dynamics, and the application of natural language processing in finance.
- Business Intelligence Professionals: To monitor brand perception and public sentiment regarding NVIDIA.
Dataset Name Suggestions
- NVIDIA Twitter Mentions Dataset
- NVIDIA Stock Sentiment Tweets
- Social Media Sentiment for NVIDIA
- NVIDIA Financial Market Tweets
- NVIDIA Tweet Activity 2022-2023
Attributes
Original Data Source: 100K Nvidia Tweets
QUALITY