1 files changed, 0 insertions, 170 deletions
diff --git a/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
deleted file mode 100755
index 2c0934c..0000000
--- a/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentiment analysis of Guardian World News articles"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Get articles from a website"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install rss parser dependency"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install feedparser"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parsing RSS feed for world news"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import feedparser\n",
-    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
-    "feed = feedparser.parse(feed_url)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re\n",
-    "for item in feed.entries:\n",
-    "    # sanitize html\n",
-    "    item.description = re.sub('<[^<]+?>', '', item.description)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Vader Sentiment library and perform sentiment analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install vaderSentiment"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "analyser = SentimentIntensityAnalyzer()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sentiment_results = []\n",
-    "for item in feed.entries:\n",
-    "    sentiment_title = analyser.polarity_scores(item.title)\n",
-    "    sentiment_description = analyser.polarity_scores(item.description)\n",
-    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Matplotlib and visualize compound score"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install matplotlib"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "plt.rcParams['figure.figsize'] = (15, 3)\n",
-    "plt.plot(sentiment_results, drawstyle='steps')\n",
-    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
-    "plt.legend(['title', 'description'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}

diff --git a/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb deleted file mode 100755 index 2c0934c..0000000 --- a/public/posts/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb +++ /dev/null
@@ -1,170 +0,0 @@
1	{
2	"cells": [
3	{
4	"cell_type": "markdown",
5	"metadata": {},
6	"source": [
7	"# Sentiment analysis of Guardian World News articles"
8	]
9	},
10	{
11	"cell_type": "markdown",
12	"metadata": {},
13	"source": [
14	"## Get articles from a website"
15	]
16	},
17	{
18	"cell_type": "markdown",
19	"metadata": {},
20	"source": [
21	"### Install rss parser dependency"
22	]
23	},
24	{
25	"cell_type": "code",
26	"execution_count": null,
27	"metadata": {},
28	"outputs": [],
29	"source": [
30	"!pip3 install feedparser"
31	]
32	},
33	{
34	"cell_type": "markdown",
35	"metadata": {},
36	"source": [
37	"### Parsing RSS feed for world news"
38	]
39	},
40	{
41	"cell_type": "code",
42	"execution_count": null,
43	"metadata": {},
44	"outputs": [],
45	"source": [
46	"import feedparser\n",
47	"feed_url = \"https://www.theguardian.com/world/rss\"\n",
48	"feed = feedparser.parse(feed_url)"
49	]
50	},
51	{
52	"cell_type": "code",
53	"execution_count": null,
54	"metadata": {},
55	"outputs": [],
56	"source": [
57	"import re\n",
58	"for item in feed.entries:\n",
59	" # sanitize html\n",
60	" item.description = re.sub('<[^<]+?>', '', item.description)"
61	]
62	},
63	{
64	"cell_type": "markdown",
65	"metadata": {},
66	"source": [
67	"### Install Vader Sentiment library and perform sentiment analysis"
68	]
69	},
70	{
71	"cell_type": "code",
72	"execution_count": null,
73	"metadata": {},
74	"outputs": [],
75	"source": [
76	"!pip3 install vaderSentiment"
77	]
78	},
79	{
80	"cell_type": "code",
81	"execution_count": null,
82	"metadata": {},
83	"outputs": [],
84	"source": [
85	"from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
86	"analyser = SentimentIntensityAnalyzer()"
87	]
88	},
89	{
90	"cell_type": "code",
91	"execution_count": null,
92	"metadata": {},
93	"outputs": [],
94	"source": [
95	"sentiment_results = []\n",
96	"for item in feed.entries:\n",
97	" sentiment_title = analyser.polarity_scores(item.title)\n",
98	" sentiment_description = analyser.polarity_scores(item.description)\n",
99	" sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
100	]
101	},
102	{
103	"cell_type": "markdown",
104	"metadata": {},
105	"source": [
106	"### Install Matplotlib and visualize compound score"
107	]
108	},
109	{
110	"cell_type": "code",
111	"execution_count": null,
112	"metadata": {},
113	"outputs": [],
114	"source": [
115	"!pip3 install matplotlib"
116	]
117	},
118	{
119	"cell_type": "code",
120	"execution_count": null,
121	"metadata": {},
122	"outputs": [],
123	"source": [
124	"import matplotlib.pyplot as plt"
125	]
126	},
127	{
128	"cell_type": "code",
129	"execution_count": null,
130	"metadata": {},
131	"outputs": [],
132	"source": [
133	"%matplotlib inline\n",
134	"plt.rcParams['figure.figsize'] = (15, 3)\n",
135	"plt.plot(sentiment_results, drawstyle='steps')\n",
136	"plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
137	"plt.legend(['title', 'description'])\n",
138	"plt.show()"
139	]
140	},
141	{
142	"cell_type": "code",
143	"execution_count": null,
144	"metadata": {},
145	"outputs": [],
146	"source": []
147	}
148	],
149	"metadata": {
150	"kernelspec": {
151	"display_name": "Python 3",
152	"language": "python",
153	"name": "python3"
154	},
155	"language_info": {
156	"codemirror_mode": {
157	"name": "ipython",
158	"version": 3
159	},
160	"file_extension": ".py",
161	"mimetype": "text/x-python",
162	"name": "python",
163	"nbconvert_exporter": "python",
164	"pygments_lexer": "ipython3",
165	"version": "3.7.3"
166	}
167	},
168	"nbformat": 4,
169	"nbformat_minor": 4
170	}