Some people who know a lot about computers and businesses say that there are some good companies to invest in that give you money back regularly. These companies are called high-dividend yielding stocks. The article talks about three of these companies and how much the smartest people think they are worth. Read from source...

1. The article title is misleading and clickbaity. It implies that Wall Street analysts are unanimous in recommending these tech stocks for holding, but the article does not provide any evidence or data to support this claim. Instead, it only shows the ratings of the most accurate analysts, which does not necessarily mean they all agree on these picks.

One possible way to approach this task is to use a combination of natural language processing (NLP) techniques, such as named entity recognition (NER), sentiment analysis, topic modeling, and summarization. NER can be used to extract the names of the stocks, analysts, and other relevant entities from the text. Sentiment analysis can be used to determine the overall tone and polarity of the text, which may indicate whether the analysts are bullish or bearish on the stocks. Topic modeling can be used to identify the main themes and topics that the text covers, such as dividend yields, free cash flows, high payout ratios, etc. Summarization can be used to generate a concise summary of the text that captures the key points and recommendations.