
Sentiment and Subject / Topic Analysis
No credit card required

Sentiment and Subject / Topic Analysis
No credit card required
Artificial Intelligence divides the text into sentences and analyzes the topic, subtopic and sentiment for each sentence.
You can access the Sentiment and Subject / Topic Analysis programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "HnVGcChFJgEC4GB15"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/ai_founder~sentiment-and-subject-topic-analysis/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-ai_founder-sentiment-and-subject-topic-analysis",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/ai_founder~sentiment-and-subject-topic-analysis/runs": {
50 "post": {
51 "operationId": "runs-sync-ai_founder-sentiment-and-subject-topic-analysis",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$ref": "#/components/schemas/inputSchema"
63 }
64 }
65 }
66 },
67 "parameters": [
68 {
69 "name": "token",
70 "in": "query",
71 "required": true,
72 "schema": {
73 "type": "string"
74 },
75 "description": "Enter your Apify token here"
76 }
77 ],
78 "responses": {
79 "200": {
80 "description": "OK",
81 "content": {
82 "application/json": {
83 "schema": {
84 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/ai_founder~sentiment-and-subject-topic-analysis/run-sync": {
93 "post": {
94 "operationId": "run-sync-ai_founder-sentiment-and-subject-topic-analysis",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "texts"
135 ],
136 "properties": {
137 "texts": {
138 "title": "Texts",
139 "type": "array",
140 "description": "One or more Texts.",
141 "items": {
142 "type": "string"
143 }
144 },
145 "responseLanguage": {
146 "title": "Response Language",
147 "enum": [
148 "en",
149 "fr",
150 "de",
151 "es",
152 "it",
153 "pt",
154 "ru",
155 "zh",
156 "ja",
157 "ko",
158 "ar",
159 "hi",
160 "sw"
161 ],
162 "type": "string",
163 "description": "That will be change only response subject's language",
164 "default": "en"
165 },
166 "isGetSentiments": {
167 "title": "isGetSentiments",
168 "type": "boolean",
169 "description": "Do you want to analyze emotions?",
170 "default": true
171 },
172 "isGetTopics": {
173 "title": "isGetTopics",
174 "type": "boolean",
175 "description": "Do you want to analyze topic/subject?",
176 "default": true
177 },
178 "isGetSubTopics": {
179 "title": "isGetSubTopics",
180 "type": "boolean",
181 "description": "Do you want to analyze sub topic/subject?",
182 "default": true
183 }
184 }
185 },
186 "runsResponseSchema": {
187 "type": "object",
188 "properties": {
189 "data": {
190 "type": "object",
191 "properties": {
192 "id": {
193 "type": "string"
194 },
195 "actId": {
196 "type": "string"
197 },
198 "userId": {
199 "type": "string"
200 },
201 "startedAt": {
202 "type": "string",
203 "format": "date-time",
204 "example": "2025-01-08T00:00:00.000Z"
205 },
206 "finishedAt": {
207 "type": "string",
208 "format": "date-time",
209 "example": "2025-01-08T00:00:00.000Z"
210 },
211 "status": {
212 "type": "string",
213 "example": "READY"
214 },
215 "meta": {
216 "type": "object",
217 "properties": {
218 "origin": {
219 "type": "string",
220 "example": "API"
221 },
222 "userAgent": {
223 "type": "string"
224 }
225 }
226 },
227 "stats": {
228 "type": "object",
229 "properties": {
230 "inputBodyLen": {
231 "type": "integer",
232 "example": 2000
233 },
234 "rebootCount": {
235 "type": "integer",
236 "example": 0
237 },
238 "restartCount": {
239 "type": "integer",
240 "example": 0
241 },
242 "resurrectCount": {
243 "type": "integer",
244 "example": 0
245 },
246 "computeUnits": {
247 "type": "integer",
248 "example": 0
249 }
250 }
251 },
252 "options": {
253 "type": "object",
254 "properties": {
255 "build": {
256 "type": "string",
257 "example": "latest"
258 },
259 "timeoutSecs": {
260 "type": "integer",
261 "example": 300
262 },
263 "memoryMbytes": {
264 "type": "integer",
265 "example": 1024
266 },
267 "diskMbytes": {
268 "type": "integer",
269 "example": 2048
270 }
271 }
272 },
273 "buildId": {
274 "type": "string"
275 },
276 "defaultKeyValueStoreId": {
277 "type": "string"
278 },
279 "defaultDatasetId": {
280 "type": "string"
281 },
282 "defaultRequestQueueId": {
283 "type": "string"
284 },
285 "buildNumber": {
286 "type": "string",
287 "example": "1.0.0"
288 },
289 "containerUrl": {
290 "type": "string"
291 },
292 "usage": {
293 "type": "object",
294 "properties": {
295 "ACTOR_COMPUTE_UNITS": {
296 "type": "integer",
297 "example": 0
298 },
299 "DATASET_READS": {
300 "type": "integer",
301 "example": 0
302 },
303 "DATASET_WRITES": {
304 "type": "integer",
305 "example": 0
306 },
307 "KEY_VALUE_STORE_READS": {
308 "type": "integer",
309 "example": 0
310 },
311 "KEY_VALUE_STORE_WRITES": {
312 "type": "integer",
313 "example": 1
314 },
315 "KEY_VALUE_STORE_LISTS": {
316 "type": "integer",
317 "example": 0
318 },
319 "REQUEST_QUEUE_READS": {
320 "type": "integer",
321 "example": 0
322 },
323 "REQUEST_QUEUE_WRITES": {
324 "type": "integer",
325 "example": 0
326 },
327 "DATA_TRANSFER_INTERNAL_GBYTES": {
328 "type": "integer",
329 "example": 0
330 },
331 "DATA_TRANSFER_EXTERNAL_GBYTES": {
332 "type": "integer",
333 "example": 0
334 },
335 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
336 "type": "integer",
337 "example": 0
338 },
339 "PROXY_SERPS": {
340 "type": "integer",
341 "example": 0
342 }
343 }
344 },
345 "usageTotalUsd": {
346 "type": "number",
347 "example": 0.00005
348 },
349 "usageUsd": {
350 "type": "object",
351 "properties": {
352 "ACTOR_COMPUTE_UNITS": {
353 "type": "integer",
354 "example": 0
355 },
356 "DATASET_READS": {
357 "type": "integer",
358 "example": 0
359 },
360 "DATASET_WRITES": {
361 "type": "integer",
362 "example": 0
363 },
364 "KEY_VALUE_STORE_READS": {
365 "type": "integer",
366 "example": 0
367 },
368 "KEY_VALUE_STORE_WRITES": {
369 "type": "number",
370 "example": 0.00005
371 },
372 "KEY_VALUE_STORE_LISTS": {
373 "type": "integer",
374 "example": 0
375 },
376 "REQUEST_QUEUE_READS": {
377 "type": "integer",
378 "example": 0
379 },
380 "REQUEST_QUEUE_WRITES": {
381 "type": "integer",
382 "example": 0
383 },
384 "DATA_TRANSFER_INTERNAL_GBYTES": {
385 "type": "integer",
386 "example": 0
387 },
388 "DATA_TRANSFER_EXTERNAL_GBYTES": {
389 "type": "integer",
390 "example": 0
391 },
392 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
393 "type": "integer",
394 "example": 0
395 },
396 "PROXY_SERPS": {
397 "type": "integer",
398 "example": 0
399 }
400 }
401 }
402 }
403 }
404 }
405 }
406 }
407 }
408}
Sentiment and Subject / Topic Analysis OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Sentiment and Subject / Topic Analysis from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Actor Metrics
2 monthly users
-
1 bookmark
90% runs succeeded
Created in Oct 2024
Modified 3 days ago