1 00:00:02,360 --> 00:00:02,840 Hi guys. 2 00:00:02,840 --> 00:00:03,720 Welcome to this session. 3 00:00:03,720 --> 00:00:08,920 So in this session we'll see some advanced level classifications which you can also do of the data which 4 00:00:08,920 --> 00:00:11,080 you organized with the help of ChatGPT. 5 00:00:11,320 --> 00:00:16,240 So once you have the data in place we can do text classifications as well. 6 00:00:16,240 --> 00:00:22,080 You can use ChatGPT to categorize text data into different classes or categories based on their content. 7 00:00:22,560 --> 00:00:29,440 Task classification is a task of assigning predefined categories or labels to text data based on its 8 00:00:29,440 --> 00:00:30,800 content, which you can do. 9 00:00:30,840 --> 00:00:37,240 You can use text classification to categorize new news articles like topics like sports, politics, 10 00:00:37,240 --> 00:00:38,480 technology, and more. 11 00:00:38,520 --> 00:00:44,520 So let's take the previous example, which we were working on, and we'll see how you can add more classifications 12 00:00:44,520 --> 00:00:46,320 or categories to that as well. 13 00:00:47,840 --> 00:00:53,040 So we had looked at a particular scenario where we talked about the events, which is there around the 14 00:00:53,040 --> 00:00:55,280 world, and we got this so far. 15 00:00:55,440 --> 00:00:58,800 So now what we can do is we can also go ahead and give it a prompt. 16 00:01:25,220 --> 00:01:30,180 So now what we are asking ChatGPT is to add another column which will say the type of event. 17 00:01:30,220 --> 00:01:32,380 What type of event was it? 18 00:01:32,500 --> 00:01:38,580 So now they are going to modify the tabular format, add another column which is type of event and mention 19 00:01:38,580 --> 00:01:39,860 that against it. 20 00:01:45,260 --> 00:01:46,620 So now we can see that. 21 00:01:46,620 --> 00:01:48,060 So the type of event has been added. 22 00:01:48,060 --> 00:01:52,220 So it's social and legal exploration trade and so on and so forth. 23 00:01:52,220 --> 00:01:53,900 You can see that over here as well. 24 00:01:54,340 --> 00:01:56,220 Similarly you can add further. 25 00:02:05,220 --> 00:02:09,660 Wherein we will talk about specifically region century impact and scale. 26 00:02:25,770 --> 00:02:30,850 So now these columns will also get added where we'll get to see this kind of information added to them 27 00:02:30,850 --> 00:02:31,330 also. 28 00:02:33,850 --> 00:02:37,530 So you can see this is how you're going to you can modify the categories. 29 00:02:37,530 --> 00:02:43,330 You can add more categories and you can understand the data much better in this particular format. 30 00:02:43,370 --> 00:02:49,490 It really helps to get the insights clearly out of the data which we are analyzing, and then use it 31 00:02:49,490 --> 00:02:51,290 for our business purposes. 32 00:02:52,610 --> 00:02:55,690 So let's see how it is going to work on this particular. 33 00:02:55,690 --> 00:02:57,090 It is analyzing right now. 34 00:02:57,530 --> 00:03:01,570 And you can see this is the programming part which is going on at the back end of it. 35 00:03:07,770 --> 00:03:09,450 And now it has come up with the data. 36 00:03:12,810 --> 00:03:14,090 So we can see the region. 37 00:03:14,690 --> 00:03:18,410 We can see the century when it happened, the impact of it as well. 38 00:03:18,570 --> 00:03:18,770 Okay. 39 00:03:18,810 --> 00:03:19,970 And the scale of it. 40 00:03:21,730 --> 00:03:24,050 So this you can easily download and make use of. 41 00:03:24,250 --> 00:03:25,290 I hope this makes sense. 42 00:03:25,290 --> 00:03:28,210 You understand this aspect of the tool as well. 43 00:03:28,250 --> 00:03:32,530 Thank you so much guys for listening to this and I will see you in the next video.