WEBVTT 00:01.590 --> 00:02.190 Hey, everyone. 00:02.370 --> 00:03.000 Welcome back. 00:03.510 --> 00:08.730 So in the next project on which we are going to work up on, is it because sentiment analysis. 00:09.550 --> 00:09.900 All right. 00:09.930 --> 00:16.200 So in this particular project, we are going to fetch some htwe related to, let's say some particular 00:16.480 --> 00:19.320 was so stumm and grab all those. 00:21.030 --> 00:27.360 And we'll try to find the sentiment associated with each of those to combine the result of all those 00:27.570 --> 00:28.590 with sentiment. 00:28.920 --> 00:33.410 We'll try to reach some conclusion that call for some particular time. 00:33.840 --> 00:40.290 How many negative reviews are there or overall the trends, the positives in terms of sentiment or not, 00:40.890 --> 00:43.080 whether it's the kind of neutral or not. 00:43.860 --> 00:50.090 So the first day wedding, which we are going to do is creating a Twitter account. 00:50.580 --> 00:55.480 So let me go to the next step and let the search for developer. 00:57.650 --> 01:06.560 Hopes turn it down over Twitter quicker and you can go to the very first link if you are using first 01:06.560 --> 01:11.020 time, so you'll go apply for Texas and Britain will give you access funding. 01:11.750 --> 01:14.270 Next is from right inside. 01:14.570 --> 01:15.740 You can just simply see. 01:17.000 --> 01:21.950 Get started and create your first Twitter application eventually. 01:22.270 --> 01:22.440 Good. 01:22.680 --> 01:29.810 And we'll give you all those token access to authenticate with the Twitter server so that we can fetch 01:29.930 --> 01:32.320 all those a different EPA. 01:33.490 --> 01:39.140 And it will return us to data so we can have four different option. 01:39.320 --> 01:43.850 We are going to go with the very first one, like creating a half. 01:45.110 --> 01:46.600 So this is already one. 01:46.840 --> 01:47.880 I already created. 01:48.440 --> 01:53.060 Let me create one more so that you will get idea how to create a Twitter app. 01:53.870 --> 01:58.570 Let's see what NLB sentiment. 01:59.540 --> 02:02.930 And here you need to write the application description. 02:03.830 --> 02:05.750 So let me just put the same one. 02:07.520 --> 02:08.410 Any Web site you are. 02:08.510 --> 02:09.290 That's the request. 02:09.500 --> 02:11.240 So I'm just going to give my. 02:12.140 --> 02:12.800 Let's see. 02:13.740 --> 02:15.950 Let me use it. 02:17.170 --> 02:18.430 Let me profile. 02:19.780 --> 02:20.310 All right. 02:20.720 --> 02:23.690 I don't want ownable signing this Twitter account. 02:24.290 --> 02:27.920 And these are the optional arguments, so you can easily skip it. 02:28.550 --> 02:30.020 And Twitter is asking that. 02:30.440 --> 02:33.350 Why and how you are going to use this step. 02:33.920 --> 02:38.420 So this I have given how we are going to use this particular app. 02:38.870 --> 02:42.260 So this sentiment analysis app is going to use for the two. 02:42.410 --> 02:49.240 Dorian has one of my NLB goes a natural language processing, which spacy and whatever you can like 02:49.280 --> 02:50.960 minimum when the character decided quite. 02:51.350 --> 02:55.640 So let me create this particular app and you have to accept it and created. 02:57.830 --> 03:01.970 So this app name is already being used so you can give a different name. 03:02.510 --> 03:05.050 So let's say an LP sentiment. 03:06.890 --> 03:07.490 Hyphen. 03:08.300 --> 03:09.950 One, two, three, allergist's pseudonym. 03:10.950 --> 03:13.070 And let's see whether it works or not. 03:14.710 --> 03:20.250 All right, so now you have got creative and you can see a description, whatever we have supplied. 03:21.190 --> 03:26.910 You can go to the key Tolkan and you can see there is already Tookey guide generated. 03:27.010 --> 03:32.610 That is nothing with a consumer APHC and a consumer API secret key along with that. 03:32.650 --> 03:39.400 There will be another two keys will be a access token and access to one secret that you need to generate. 03:40.180 --> 03:40.510 All right. 03:40.840 --> 03:42.820 So let me just copy both of them. 03:44.960 --> 03:46.160 And let's just keep it. 03:47.220 --> 03:53.250 Somewhere, he hopes, and that is nothing but access token and access to secret. 03:54.470 --> 04:01.460 Apart from that, there will be EPA key EPA security, so this all keys, you're required to authenticate 04:01.700 --> 04:02.280 yourself. 04:02.440 --> 04:04.000 Peter Sala. 04:05.840 --> 04:10.550 All right, so let me keep here some space. 04:10.880 --> 04:11.210 All right. 04:11.240 --> 04:12.530 So we got this for. 04:13.850 --> 04:14.690 Let me executed. 04:15.560 --> 04:19.410 And we have kept all things records in our call. 04:20.330 --> 04:25.940 Now, when we tried to connect our patent code with this tweet, I said, what really quite all this 04:25.940 --> 04:26.660 for talking. 04:27.620 --> 04:29.730 You can even region that this also. 04:30.420 --> 04:34.970 And I would highly suggest to you not to use this particular eloquence because after recording this 04:34.970 --> 04:37.510 video, anyhow, I'm going to delete this particular rap. 04:38.420 --> 04:43.430 You can go to permission and just make sure whether it has a lead in write permission or not. 04:44.030 --> 04:49.100 And if you want to change the permission, you can just simply click on edit and make it a read. 04:49.280 --> 04:51.110 And I can sleep. 04:51.590 --> 04:54.020 And our new application like creating. 04:54.780 --> 04:55.100 All right. 04:55.430 --> 04:58.650 So now we have access token. 04:59.180 --> 05:03.010 Next thing is all those required library ledgers imported. 05:03.440 --> 05:09.830 And from the next video, we will see how to grab this data from the EPA and then. 05:11.220 --> 05:14.760 How to find sentiment associated with those individuals. 05:16.960 --> 05:23.210 Let me believe this, too, shall let me create fuel more then. 05:23.470 --> 05:28.900 So to find the sentiment analysis, we are going to use one tax block library. 05:29.770 --> 05:32.590 And that is another natural language processing library. 05:32.630 --> 05:36.080 It is used for all those NLB related basic stuff. 05:36.190 --> 05:43.120 And if you just supplied the text, it will give us all those sentiments associated with those text. 05:43.120 --> 05:47.740 So we are going to use all those inbuilt CPA are available in this text block. 05:48.010 --> 05:53.110 So from tax block, we are going to import first. 05:53.130 --> 05:54.790 Let me connected tax block. 05:55.540 --> 05:56.260 Let me it. 05:57.480 --> 06:02.990 So this particular library is going to help us to find a sentiment from the tax. 06:03.720 --> 06:09.240 Another library meeting we are going to use that is further handling Twitter API. 06:09.870 --> 06:14.900 So that will be important to BP. 06:15.780 --> 06:19.030 So if it is not installed, you can just simply install the flipping screen. 06:19.160 --> 06:23.580 BP, although if you are running with this, Google will collapse and worry me. 06:23.760 --> 06:25.040 You do not require that. 06:26.240 --> 06:28.580 And one more thing is what we do. 06:28.900 --> 06:30.830 But we are going to use this matplotlib. 06:31.470 --> 06:37.590 So input matplotlib, not pipeline as yet. 06:38.240 --> 06:38.630 All right. 06:39.080 --> 06:41.750 So all those labels successfully got loaded. 06:42.260 --> 06:43.830 We have all access token. 06:43.970 --> 06:50.970 Also next video, we will see how to connect with the help of this token to the Twitter selwa. 06:52.000 --> 06:53.210 See you in the next video.