Stock market articles for sentiment analysis
Budget: $30 – $250 USD
I am working on an NLP model to do a sentiment analysis of certain stocks of my choice. I need someone to pull 500 articles from the internet, read them carefully, and label them as positive or negative sentiments about the stocks mentioned in that article. Below are the detailed requirements.
1. The final dataset must have the following 5 columns:
Title - Title of the article as mentioned in the source
Content - This column should have the full content of the article.
Sentiment - The sentiment of the author of the article towards the stocks mentioned in the article. 1 for positive and 0 for negative
Stocks - Ticker of stocks mentioned in the article
Link - The website link to the article from where the data was extracted.
2. Each article should be a minimum of 500 words
3. Each article must have a discussion/opinion about only one or at most two stocks/companies. If two stocks/companies are mentioned in the article the sentiment about both stocks should be either positive or negative. It shouldn't contain a positive opinion on one and a negative about the other.
4. Positive opinion refers to buy or hold the stock and negative opinion refers to sell advice. Each article must be read carefully before labeling them as positive or negative
5. Total number of articles should be 500. There should be approximately 250 articles with positive sentiments and 250 with negative sentiments.
6. The final dataset should be in one of the following formats: xlsx, csv, tsv. If any other format we need to discuss before and get my approval
7. The language of the articles should be English.
1. The final dataset must have the following 5 columns:
Title - Title of the article as mentioned in the source
Content - This column should have the full content of the article.
Sentiment - The sentiment of the author of the article towards the stocks mentioned in the article. 1 for positive and 0 for negative
Stocks - Ticker of stocks mentioned in the article
Link - The website link to the article from where the data was extracted.
2. Each article should be a minimum of 500 words
3. Each article must have a discussion/opinion about only one or at most two stocks/companies. If two stocks/companies are mentioned in the article the sentiment about both stocks should be either positive or negative. It shouldn't contain a positive opinion on one and a negative about the other.
4. Positive opinion refers to buy or hold the stock and negative opinion refers to sell advice. Each article must be read carefully before labeling them as positive or negative
5. Total number of articles should be 500. There should be approximately 250 articles with positive sentiments and 250 with negative sentiments.
6. The final dataset should be in one of the following formats: xlsx, csv, tsv. If any other format we need to discuss before and get my approval
7. The language of the articles should be English.