Which language is the best for your chatbot? No, this is not about whether you want your virtual agent to understand English slang, the subjunctive tense in Spanish or even the dozens of ways to say “I” in Japanese. In fact, the programming language you build your bot with is as important as the human language it understands. But how do you differentiate between them?
Forget becoming a teen idol, a role model or even the world’s biggest superstar. There is one thing that our athletes, musicians and film stars have strived to become since Michael Jordan first managed it thirty years ago - a multi-million dollar brand. The way to do it now? Through social media. Stars are now able to offer more access than ever before to their fans while pumping out advertising for a range of glossy products for the trend conscious millennials.
What is a decision tree and why should my chatbot use it? The most effective way to discover the intent behind your customer's questions and provide the right answer is by using a decision tree. What are they and how do they work? When it comes to chatbots, businesses want to know one thing. The million dollar question for a market which will be worth billions within a few years is – can my virtual agent answer my customers’ questions?
@suhas_chatekar@TechCrunch Correct. Which is why I make that clear within the piece. The point of it was really for someone coming to it fresh who wanted to know which language is worth exploring first
Me for @TechCrunch. Important to note of course that the language you are most comfortable with is usually the best option but if you're starting out fresh there are some key points worth considering https://t.co/HgNQapvJ2F
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".