WEBVTT 00:01.170 --> 00:02.670 Hello, everyone, and welcome back. 00:03.360 --> 00:11.310 So the next step in Texas and exposes which we are going to learn in this video are the timing and limitation. 00:12.180 --> 00:18.570 So limitation you can see like a little upgraded was born of this stemming for further analysis of your 00:18.670 --> 00:20.370 tax, but not here. 00:20.850 --> 00:26.460 Basically, stemming is so finding the root word of your original word. 00:26.940 --> 00:36.170 So let's say we have words like, let's say playing, or maybe it will be a play or it will be a play. 00:36.690 --> 00:43.260 So all those words, you can just simply convert it into your Rudaw like a play. 00:43.980 --> 00:51.680 So that is called a stemming no limitations and is also exactly like an stemming only. 00:52.560 --> 00:59.820 But the only basic difference between distending and a limitation is how many will you convert all your 00:59.820 --> 01:03.660 work into your root or kind of stem word? 01:04.110 --> 01:07.260 Not necessarily that in case of stemming the output. 01:07.750 --> 01:13.030 What will be a part of your original dictionary or it will be a part of vocabulary. 01:13.590 --> 01:17.160 So we will see some example and you will get a more idea. 01:17.940 --> 01:21.000 What is the basic difference between stemming a limitation? 01:21.440 --> 01:28.320 Whereas in case of limitation, whenever you convert your original void and find its lamma, whatever 01:28.320 --> 01:32.640 the root word we will get, that is always be a part of vocabulary. 01:33.300 --> 01:38.970 Now, the spacy library doesn't help any kind of stemming algorithm got implemented. 01:39.690 --> 01:43.040 Instead of that, they have only limited implementation. 01:43.500 --> 01:46.660 So what do we do in this video we'll use? 01:46.770 --> 01:51.390 Let me just make it to the last line. 01:53.610 --> 01:55.470 So playing play played. 01:58.160 --> 01:59.410 Everything will be complete. 02:00.170 --> 02:00.560 All right. 02:00.980 --> 02:05.090 So for stemming the two algorithms are available, that is a part of this. 02:05.170 --> 02:08.210 And LDK Library, not part of spacy library. 02:08.960 --> 02:10.370 That will be a part of STEMMER. 02:10.730 --> 02:12.910 And under one is a snowball steamer. 02:14.360 --> 02:21.710 So let's say we help these words are available and for this work with the help of this analytical library, 02:21.830 --> 02:24.410 author Stemmer and a Snowball Stemmer. 02:24.560 --> 02:28.590 We are going to find it's the root word like run, right. 02:28.640 --> 02:29.270 Not running. 02:29.770 --> 02:30.060 Right. 02:30.560 --> 02:34.390 So all this should convert to one base record. 02:35.390 --> 02:40.340 So let's see what result we will get after applying this part timer. 02:40.740 --> 02:42.310 Hannah Snowball Stemmer. 02:43.310 --> 02:46.810 So first, let me put this in taking. 02:48.350 --> 02:52.670 Next, let's import from Analytica, not stem. 02:56.480 --> 02:57.410 Not water. 02:59.000 --> 03:00.050 We are going to import 03:03.690 --> 03:04.370 water it. 03:04.970 --> 03:08.180 And that is on the Stamatis, that's all available. 03:08.570 --> 03:10.130 That is a snowball stamp. 03:10.190 --> 03:14.960 So it will be a from an LDK not. 03:16.070 --> 03:17.500 STEM not. 03:18.760 --> 03:24.620 Snowbowl, let's import Snow-White Stemmer. 03:25.600 --> 03:28.170 Now let's create the object of MODOK class. 03:28.660 --> 03:31.270 So it will be a part of Stemmer. 03:33.730 --> 03:35.590 Let me Dupee in this code. 03:36.700 --> 03:39.390 Stamler and under one is a. 03:41.480 --> 03:43.130 Ascendis, Stemler. 03:45.700 --> 03:48.050 So that will be, you know, why Stanway? 03:53.770 --> 03:59.150 Now, here we need to supply for which language you are going to play this Snowbowl stemware. 03:59.590 --> 04:01.510 So let's add the language like Englis. 04:06.070 --> 04:12.200 And let me executed and you will be able to see we created a two object, be this coach, --. 04:12.470 --> 04:14.170 And it has underscored Stemler. 04:14.550 --> 04:19.010 Now, let's apply this stamping process on all this was. 04:19.470 --> 04:21.600 So let me look at every single word. 04:21.650 --> 04:26.580 So let's have for wording words. 04:27.250 --> 04:30.380 Let's bring more. 04:32.020 --> 04:32.500 Plus. 04:34.270 --> 04:43.540 Stambaugh is not this individual word, so we are going to use this P in this court stamp, not stand 04:44.500 --> 04:46.530 and will use this word. 04:47.320 --> 04:48.530 And let me executed it. 04:48.540 --> 04:53.100 And before that, let me put get some differentiating factors. 04:54.170 --> 04:54.660 All right. 04:55.680 --> 04:58.110 So if you execute it, that is the output of. 04:59.060 --> 05:01.490 Porter stammer certain become one. 05:02.390 --> 05:03.440 Then we have a runner. 05:03.500 --> 05:08.250 So then that becomes the nut itself running become run and then become ran. 05:08.580 --> 05:11.690 Drones become Navasky easily become easily. 05:11.900 --> 05:13.550 So this kind of thing. 05:13.610 --> 05:19.850 Now I don't think that this is Zilly and this family or whatever it has reduced to its best form, or 05:19.910 --> 05:23.800 I would say in a good form that is not available might be an extended. 05:23.810 --> 05:26.090 So that may not be valid in dictionary. 05:26.370 --> 05:27.980 Well, let's play something. 05:28.130 --> 05:30.110 Or with Snowball Stemmer. 05:30.200 --> 05:32.420 So understanding algorithms are available. 05:33.140 --> 05:35.180 So instead of FEMA. 05:37.440 --> 05:43.210 Let me make it underscore Stemler and let's see, is there any difference we'll get? 05:43.260 --> 05:43.650 Or not. 05:44.560 --> 05:44.940 All right. 05:44.970 --> 05:46.080 So then become. 05:46.080 --> 05:46.350 Run! 05:46.450 --> 05:48.690 Run, run, run, run. 05:48.720 --> 05:50.760 So first translated related. 05:50.790 --> 05:52.190 Everything remains same. 05:52.680 --> 05:53.280 Even in his. 05:53.450 --> 05:54.980 So we got the same result. 05:55.350 --> 05:59.670 But in fairly it has reduced to not Fadhli but because it is too fat. 05:59.720 --> 06:01.080 So that looks better. 06:01.590 --> 06:06.070 So Snowbowl Stemmer works a little better compared to this quarter. 06:06.300 --> 06:06.720 Stemler. 06:07.260 --> 06:09.590 So that is the whole story behind us. 06:09.760 --> 06:13.140 Coming next is glamorises and now for limitation. 06:13.350 --> 06:15.090 We are going to use this. 06:16.230 --> 06:18.650 Special library and lemonade's isn't really seen. 06:18.930 --> 06:19.440 Next, what you.