Are you tired of scrolling through endless tweets on Twitter, trying to find the ones that really matter? Well, fear not, my friend! With the help of AI, you can now search Twitter like a pro and find the tweets that matter most to you.
In this article, we will explore how to use AI to search Twitter more effectively and efficiently. So sit back, relax, and let’s dive into the world of Twitter search.
Searching Twitter with Bird SQL
One of the most powerful tools for searching Twitter with AI is Bird SQL. Bird SQL is a tool that allows you to search Twitter using SQL queries. This means that you can search for tweets using specific keywords, hashtags, locations, and even user information.
To get started with Bird SQL, you’ll need to sign up for an account and connect your Twitter account. Once you’re set up, you can start creating SQL queries to search for tweets.
For example, let’s say you’re interested in finding tweets about “AI”. You can create a simple SQL query like this:
vbnetCopy codeSELECT * FROM tweets
WHERE text LIKE '%AI%'
This query will return all tweets that contain the word “AI”. You can refine your search by adding more keywords, specifying a date range, or filtering by location or user.
The Twitter API
Twitter has an API, which means that the entire Twitter history archive can be filtered and organized. This API can create a Twitter search feed based on locations, dates, bios, users, quotes, mentions, and images. However, accessing the API requires technical knowledge, coding, and understanding of SQL.
The good news is that there’s a tool that anyone can use to tap into Twitter’s massive treasure trove of content and data without the need for technical knowledge or coding. This tool is called Bird SQL, created by Perplexity.ai, a software company that creates AI-powered search tools.
Bird SQL Home Page
Bird SQL is a 3rd party Twitter search tool that provides simple access to the Twitter API without writing any code or paying for an API connection app. The best part about Bird SQL is that it uses OpenAI’s GPT model to convert plain English into SQL code, which is used to query the Twitter API.
The Power of Bird SQL
Let’s explore some use cases for Bird SQL:
Most Liked Tweets
To get a sense of what Bird SQL can provide, let’s type in “Most liked tweets” into the search bar. The tool will provide the top liked tweets, as shown in the screenshot below.
Who to Follow Based on Your Interests
Bird SQL can help you find the top accounts that mention a particular skill or industry in their bio. Simply type in “Top accounts that mention [skill or industry] in their bio” into the search bar.
Identifying the Most Popular Tweets
Bird SQL can help you find the most liked tweets in the past week, month, or year about a specific topic. Type in “Most-liked Tweets in the past <week, month, year> about <topic>” into the search bar.
Finding the Most Influential Followers of an Account
To find the most influential followers of an account, type in “People with above <number> followers that follow <User>” or “Top followers of <user> who are not followed back” into the search bar.
Under the Radar Accounts Followed by Influential People
To find the least followed people followed by a particular user, type in “Least followed people followed by <user>” into the search bar.
Comparing Tweet Engagement Rate Between Two Accounts
Bird SQL can help you compare tweet engagement rate between two accounts. Type in “Compare Tweet engagement rate between @jack and @elonmusk” into the search bar.
Which of Your Tweets Were Liked by Someone Specific
To find out which of your tweets were liked by a specific user, type in “<User 1> tweets liked by <user 2>” into the search bar.
Finding the Best How-To Guides or Identifying Skills to Learn
Bird SQL can help you find the top tweets with “how-to” and a specific topic. Type in “Top tweets with “how to” and <topic>” into the search bar.
Most Liked Tweets
Another useful feature of Bird SQL is the ability to search for the most liked tweets on a particular topic. This can be a great way to find tweets that are resonating with people and getting a lot of engagement.
To find the most liked tweets about a particular topic, you can use a query like this:
vbnetCopy codeSELECT * FROM tweets
WHERE text LIKE '%AI%'
ORDER BY favorite_count DESC
This query will return all tweets that contain the word “AI” and will sort them by the number of likes they have received, with the most popular tweets at the top of the list.
When it comes to the most liked tweets of all time, there are a few that stand out above the rest. Let’s take a look at the top three:
1. “Black Lives Matter” – 7.7 Million Likes
In the wake of the killing of George Floyd in May 2020, protests erupted across the United States and around the world, demanding justice and an end to police brutality against Black Americans. Former President Barack Obama tweeted in support of the movement, sharing a powerful message that resonated with millions of people. The tweet simply said “Black Lives Matter” and included a link to a Medium article that further elaborated on the issues at hand.
2. “Let’s set a world record together” – 4.3 Million Likes
In 2017, a 16-year-old from Nevada named Carter Wilkerson tweeted at fast food chain Wendy’s asking how many retweets he would need to get free chicken nuggets for a year. The chain responded with “18 million,” and Wilkerson took on the challenge. His tweet went viral, with people all over the world retweeting it in support. Though he didn’t quite reach the 18 million mark, he did become the record holder for the most retweeted tweet of all time, with 3.5 million retweets. As a result, Wendy’s awarded him free chicken nuggets for a year and donated $100,000 to the Dave Thomas Foundation for Adoption.
3. “We’ve done it” – 4.3 Million Likes
In 2018, K-Pop band BTS made history by becoming the first Korean act to top the Billboard 200 chart. The group’s leader, RM, took to Twitter to share the news with fans, tweeting “We’ve done it.” The tweet quickly went viral, with fans all over the world celebrating the group’s success.
Use Cases for Searching Twitter with AI
There are many use cases for searching Twitter with AI. Here are just a few examples:
- Research: If you’re conducting research on a particular topic, you can use AI to search for relevant tweets and analyze the data.
- Marketing: Businesses can use AI to search for tweets related to their products or services and engage with potential customers.
- News: Journalists can use AI to monitor Twitter for breaking news and stay up-to-date on the latest developments.
- Personal use: Individuals can use AI to search for tweets about their hobbies, interests, or favorite celebrities.
- Brand Monitoring
Brand monitoring is an essential aspect of social media marketing. It involves monitoring mentions, tags, and conversations about a brand or business on social media platforms like Twitter. AI can be used to monitor and track brand mentions on Twitter in real-time, enabling businesses to respond quickly to customer queries, complaints, and feedback. For instance, AI can be used to track mentions of a brand name or product name on Twitter, and if negative sentiment is detected, the system can alert the company’s social media team to take action.
- Social Listening
Social listening is the process of monitoring social media conversations to gain insights into what people are saying about a brand, industry, or topic. AI can be used to analyze Twitter conversations and identify patterns and trends in real-time. For instance, AI can be used to track conversations around a particular hashtag, keyword, or topic and provide insights into what people are talking about, their sentiment, and the tone of the conversation. This information can help businesses to understand their audience better and develop more effective marketing strategies.
- Customer Service
Twitter is widely used by customers to reach out to businesses and organizations for support and assistance. AI-powered chatbots can be used to respond to customer queries and provide assistance 24/7. Chatbots can also be used to triage customer queries and redirect them to the appropriate department or support team. This can help businesses to improve their customer service and response times while reducing the workload on their support team.
- Content Creation
AI can be used to generate content ideas and identify trending topics on Twitter. For instance, AI-powered content creation tools can be used to analyze Twitter conversations and identify topics that are gaining traction. This information can help content creators to develop content that resonates with their audience and is more likely to be shared and engaged with on social media.
- Competitive Analysis
AI can be used to monitor and analyze the social media activity of competitors on Twitter. This can help businesses to understand their competitors’ social media strategies, their strengths and weaknesses, and identify areas where they can improve. For instance, AI can be used to track the social media engagement levels of competitors, identify their most popular content, and analyze their followers’ demographics.
- Sentiment Analysis
Sentiment analysis involves the use of AI to analyze the tone and sentiment of social media conversations. AI can be used to analyze Twitter conversations and identify positive, negative, or neutral sentiment. This information can help businesses to understand their audience’s sentiment towards their brand, products, or services, and develop more effective marketing strategies. Sentiment analysis can also help businesses to identify potential issues or concerns that customers may have and take proactive measures to address them.
- Influencer Identification
Twitter is home to many influencers who have large followings and can help businesses to reach a broader audience. AI can be used to identify influencers on Twitter based on their engagement levels, followers, and the content they share. This information can help businesses to identify the right influencers to collaborate with and develop more effective influencer marketing strategies.
Business Applications Using Twitter Search
Businesses can benefit greatly from using AI to search Twitter. Here are some ways businesses can use Twitter search to their advantage:
- Customer service: By monitoring Twitter for mentions of their brand, businesses can quickly respond to customer inquiries and concerns.
- Competitive analysis: Businesses can use Twitter search to keep tabs on their competitors and stay ahead of the curve.
- Influencer marketing: By searching for tweets from influential users in their industry, businesses can identify potential partners for influencer marketing campaigns.
- Reputation management: Businesses can use Twitter search to monitor their online reputation and respond to negative feedback in a timely manner.
Conclusion
AI has revolutionized the way we search Twitter. With tools like Bird SQL, we can now search for tweets more efficiently and effectively than ever before. Whether you’re using Twitter for personal or business purposes, AI can help you find the tweets that matter most to you. So what are you waiting for? Start exploring the world of Twitter search with AI today!
