Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

// here “a” and “b” parameters are typed implicitly as any
// hence enabling the flag raise an error
function add(a, b) {
  return a + b;
}
// here “c” param is typed implicitly as number
// no error raised in this case by the compiler
[1,2,3].map(function pow(c) {
  return c * c;
}

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.

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Ready to explore how technology can help to understand what hides behind user opinions? Let’s dive in!

What exactly is Agile methodology in project management?

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

Scrum framework: why is it so awesome?

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

Scrum framework: why is it so awesome?

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.
Ready to explore how technology can help to understand what hides behind user opinions? Let’s dive in!

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.
Ready to explore how technology can help to understand what hides behind user opinions? Let’s dive in!

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

What exactly is Agile methodology in project management?

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.
Ready to explore how technology can help to understand what hides behind user opinions? Let’s dive in!

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions emotion detection, comes in. It is used.

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

What exactly is Agile methodology in project management?

Do you remember your first walk on ice? Let me refresh your memory. With great curiosity and child-like joy, you stepped on the surface of frozen water. Maybe it was just a spontaneous move or you expected a brand-new experience. As you were moving, you probably felt a surprisingly pleasant slide. With every additional move, you had even more fun and wished the winter would never end.

• Value first 💘 Users don’t care about features, they care about how it will make their lives better. Show them the value they can get.
• No explanation ⏱ No one has time for trying to understand what the product can offer. Let the user do something instead of telling them how to do it.
• Progressive disclosure 🧠 People feel overwhelmed when they get too many options or complex functionality. Give them only a taste of what the product can offer. Let them discover more naturally.
• No friction 💥 Reduce effort to a minimum by using common patterns, pixel perfect UI and flawless flow. A small detail can make a big difference.
• Engagement 🚀 Activate your users and show them what they can do next. Keep them engaged so they don’t feel bored or pointless.
• Trust 🎖 Be careful about permissions and sensitive information, especially if people don’t recognize your brand. Build trust instead of privacy concerns.
• Delightful moments 🎁 Add any celebration, micro-interaction, funny illustration, animated loader, or smart UX copy, to give a little pleasure or unique feel.

Scrum framework: why is it so awesome?

• How do users get the most from our app in just a few minutes?
• What are the most important values we want to promote?
• How can we show the social value of an app that has few users?

Scrum framework: why is it so awesome?

1. How do users get the most from our app in just a few minutes?
2. What are the most important values we want to promote?
3. How can we show the social value of an app that has few users?
   • How do users get the most from our app in just a few minutes?
   • What are the most important values we want to promote?
   • How can we show the social value of an app that has few users?
4. How can we show the social value of an app that has few users?

• How do users get the most from our app in just a few minutes?
• What are the most important values we want to promote?
• How can we show the social value of an app that has few users?
  • How do users get the most from our app in just a few minutes?
  • What are the most important values we want to promote?
  • How can we show the social value of an app that has few users?
• How can we show the social value of an app that has few users?

• How do users get the most from our app in just a few minutes?
• What are the most important values we want to promote?
• How can we show the social value of an app that has few users?
  1. How do users get the most from our app in just a few minutes?
  2. What are the most important values we want to promote?
  3. How can we show the social value of an app that has few users?
• How can we show the social value of an app that has few users?

1. How do users get the most from our app in just a few minutes?
2. What are the most important values we want to promote?
3. How can we show the social value of an app that has few users?
   1. How do users get the most from our app in just a few minutes?
   2. What are the most important values we want to promote?
   3. How can we show the social value of an app that has few users?
4. How can we show the social value of an app that has few users?

Scrum framework: why is it so awesome?

• Flipping inputs horizontally:

horizontal_flip = True

• Setting a brightness shift value from range:
• Shearing with the provided intensity:
• Rescaling, by multiplying by a specified value:

train_datagen_augment =
           ImageDataGenerator(rotation_range = 30,
           horizontal_flip = True,
           brightness_range = (0.75,1.25),
           shear_range = 15,
           rescale= 1./255,
           zoom_range= 0.4,
           width_shift_range = 0.1,
           height_shift_range = 0.15)

train_datagen_augment =
           ImageDataGenerator(rotation_range = 30,
           horizontal_flip = True,
           brightness_range = (0.75,1.25),
           shear_range = 15,
           rescale= 1./255,
           zoom_range= 0.4,
           width_shift_range = 0.1,
           height_shift_range = 0.15)

train_datagen_augment = ImageDataGenerator(rotation_range = 30, horizontal_flip = True, brightness_range = (0.75,1.25),

The main differences between Scrum and Kanban

Behind every piece of verbal communication, there is a set of emotional messages, which are crucial for understanding the meaning hiding behind the text. That’s where sentiment analysis, also called opinion mining or emotion detection, comes in. It is used to determine the opinion, emotions and attitude of a writer.

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.

header5

heading

paragraph goes here

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.

heading

paragraph goes here

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.

heading

paragraph goes here

In this article, we’re going to take a closer look at one of the tool’s business applications: social media analysis used to check the reception of a certain topic or the writer’s opinion orientation. We’ll do so by analysing the examples of sentiment analysis applications for Twitter-based data using two NLP frameworks.

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